{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 May 2025, 13:33:03
{txt}
{com}. 
.         
. ********************************************************************************
. *
. * Figures in manuscript
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Figure 1. The importance of educational exchange programs
.         ****************************************************************************    
.         
.         *Loading dataset        
.         use "$path\replication_data_figure_1.dta", clear        
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (line foreignstuds year if year<=2018, lcolor(black) lwidth(*1.5))
>                    (dropline foreignstuds year if year<=2018, mcolor(black) msize(*1) lcolor(gs12) lwidth(*0.5))        
>                    ,
>                         ysize(1)
>                         xsize(1.25)                     
>                         yscale(range(0 ) noextend titlegap(*+5))
>                         xscale(range( ) noextend titlegap(*+7))
>                         ylabel(0(250)1000, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(1950(10)2020)
>                         ytick(, tlength(*0.5))                  
>                         xtick(1950(5)2020, tlength(*0.5))
>                         ytitle("Number of international students" "in the United States (in 1,000)")
>                         xtitle("Year")
>                         graphregion(color(white) lcolor(white) lalign(outside))
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_1.tif", as(tif) replace width(1500)                  
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_1.tif written in TIFF format)

{com}.                                 
.         
.         ****************************************************************************
.         *Figure 3. International seminar participants
.         ****************************************************************************            
.         
.         *Loading dataset        
.         use "$path\replication_data_analysis_1.dta", clear      
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping obs in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Generating indicator for students from democratic countries
.         gen allstuds_democ=allstuds if democ==1
{txt}(2,048 missing values generated)

{com}.                 
.         *Collapsing data
.         collapse (sum) allstuds allstuds_democ, by(year)
{txt}
{com}.         
.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (connected allstuds year, mfcolor(black) mlcolor(black) msize(*1) lcolor(black) lwidth(*0.75))
>                    (connected allstuds_democ year, mfcolor(white) mlcolor(black) msize(*1) lcolor(black) lpattern(dot))
>                    ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0 80) noextend titlegap(*+5))
>                         xscale(range( ) noextend titlegap(*+7))
>                         ylabel(0(10)80, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(1952(4)1968)
>                         ytick(, tlength(*0.5))                  
>                         xtick(1952(1)1968, tlength(*0.5))
>                         ytitle("Number of participants")
>                         xtitle("Year")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend( 
>                                          position(1)
>                                          ring(0)
>                                          row(2)
>                                          order(1 "All countries" 2 "Democratic countries")
>                                          size(*.8) keygap(*0.75) symxsize(*0.5) symysize(*0.5)                                   
>                         )                       
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_3.tif", as(tif) replace width(1500)          
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_3.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore                 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 4. Participation across sectors
.         ****************************************************************************            
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping obs in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Collapsing data
.         collapse (sum) allstuds allstuds_state allstuds_edu allstuds_mediacul
{txt}
{com}.         
.         *Generating proportion variables
.         foreach var of varlist allstuds_state allstuds_edu allstuds_mediacul {c -(}
{txt}  2{com}.             gen perc_`var'=(`var' / allstuds ) * 100            
{txt}  3{com}.         {c )-}
{txt}
{com}.         
.         *Reshaping data
.         gen id=1
{txt}
{com}.         reshape long perc@ , i(id) j() string
{txt}(note: j = _allstuds_edu _allstuds_mediacul _allstuds_state)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}       1   {txt}->{res}       3
{txt}Number of variables            {res}       8   {txt}->{res}       7
{txt}j variable (3 values)                     ->   {res}_j
{txt}xij variables:
{res}perc_allstuds_edu perc_allstuds_mediacul perc_allstuds_state{txt}->{res}perc
{txt}{hline 77}

{com}.         sort perc
{txt}
{com}.         gen xaxis=_n
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline perc xaxis, mcolor(black) lcolor(black) lwidth(*0.75))
>                    ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0 50) noextend titlegap(*+5))
>                         xscale(range(0.5 3.5) noextend titlegap(*+7))
>                         ylabel(0(10)50, angle(horizontal) nogrid)
>                         xlabel(3 `" " Media &" "Culture" "' 2 `" " State &" " Politics" "' 1 "Education")
>                         ytick(, tlength(*0.5))                  
>                         ytitle("Percentage of participants")
>                         xtitle("Sector")
>                         graphregion(color(white) lcolor(white) lalign(outside)  margin(l=15 r=15))                      
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_4.tif", as(tif) replace width(1500)                  
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_4.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 5. Distribution of dependent variable
.         ****************************************************************************            
.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         hist allstuds if sample==1
>                         ,
>                         disc
>                         ysize(1)
>                         xsize(1.2)
>                         width(0.5)
>                         lwidth(0)
>                         fcolor(gs12)
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range() noextend titlegap(*+7))
>                         ylabel(, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel()
>                         ytitle("Density")
>                         xtitle("Number of participants")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{txt}(start={res}0{txt}, width={res}.5{txt})
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_5.tif", as(tif) replace width(1500)  
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_5.tif written in TIFF format)

{com}.                 
.         
.         ****************************************************************************
.         *Figure 6. Seminar attendance and the level of democracy
.         ****************************************************************************
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping obs in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Collapsing data
.     collapse (mean) mean=v2x_libdem (sd) sd=v2x_libdem (count) n=v2x_libdem, by(bin_allstuds)
{txt}
{com}.     
.         *Calculating 95% CIs
.         generate hi = mean + invttail(n-1,0.025)*(sd / sqrt(n))
{txt}
{com}.     generate lo = mean - invttail(n-1,0.025)*(sd / sqrt(n))
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (bar mean bin_allstuds, lwidth(0) fcolor(gs13) barwidth(0.2)) 
>                    (rspike hi lo bin_allstuds, lcolor(black) )
>                    (scatter mean bin_allstuds, mlcolor(black) mfcolor(white) msize(*.9) mlwidth(*1.1) )                 
>                         ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0 .5) noextend titlegap(*+5))
>                         xscale(range(-.5 1.5) noextend titlegap(*+7))
>                         ylabel(0(.1).5, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(0 "Countries w/o participants" 1 "Countries with participants")
>                         ytitle("Liberal democracy score")
>                         xtitle("")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)                             
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_6.tif", as(tif) replace width(1500)  
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_6.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.                 
.         ****************************************************************************
.         *Figure 7. Substantive effect
.         ****************************************************************************
.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 c.l_v2x_libdem
>                 c.l_ln_fuelpc
>                 c.l_ln_rgdpc
>                 c.l_ln_milperratio
>                 i.l_marxinsurg
>                 c.l_v2exl_legitideolcr_1
>                 c.l_hr_mean
>                 i.region6_1
>                 i.region6_2
>                 i.region6_3
>                 i.region6_4
>                 i.region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(12, 120)        =  {res}     4.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4088
                                                {txt}Root MSE          =    {res}  .6516

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.722838{col 36}{space 2} .4105207{col 47}{space 1}    4.20{col 56}{space 3}0.000{col 64}{space 4} .9100353{col 77}{space 3}  2.53564
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0043191{col 36}{space 2} .0252627{col 47}{space 1}   -0.17{col 56}{space 3}0.865{col 64}{space 4}-.0543374{col 77}{space 3} .0456992
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0741849{col 36}{space 2} .0804074{col 47}{space 1}   -0.92{col 56}{space 3}0.358{col 64}{space 4}-.2333859{col 77}{space 3}  .085016
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3438659{col 36}{space 2} .1013906{col 47}{space 1}    3.39{col 56}{space 3}0.001{col 64}{space 4} .1431195{col 77}{space 3} .5446123
{txt}{space 8}1.l_marxinsurg {c |}{col 24}{res}{space 2}-.2816846{col 36}{space 2} .1725364{col 47}{space 1}   -1.63{col 56}{space 3}0.105{col 64}{space 4}-.6232946{col 77}{space 3} .0599253
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4988972{col 36}{space 2} .2160297{col 47}{space 1}   -2.31{col 56}{space 3}0.023{col 64}{space 4} -.926621{col 77}{space 3}-.0711735
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0461255{col 36}{space 2}  .049406{col 47}{space 1}   -0.93{col 56}{space 3}0.352{col 64}{space 4} -.143946{col 77}{space 3}  .051695
{txt}{space 11}1.region6_1 {c |}{col 24}{res}{space 2}-.0681361{col 36}{space 2}   .28252{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4} -.627506{col 77}{space 3} .4912339
{txt}{space 11}1.region6_2 {c |}{col 24}{res}{space 2}-.3412167{col 36}{space 2} .2010577{col 47}{space 1}   -1.70{col 56}{space 3}0.092{col 64}{space 4} -.739297{col 77}{space 3} .0568637
{txt}{space 11}1.region6_3 {c |}{col 24}{res}{space 2}-.1972616{col 36}{space 2} .1924528{col 47}{space 1}   -1.02{col 56}{space 3}0.307{col 64}{space 4}-.5783047{col 77}{space 3} .1837815
{txt}{space 11}1.region6_4 {c |}{col 24}{res}{space 2}-.0890521{col 36}{space 2} .2014043{col 47}{space 1}   -0.44{col 56}{space 3}0.659{col 64}{space 4}-.4878185{col 77}{space 3} .3097144
{txt}{space 11}1.region6_5 {c |}{col 24}{res}{space 2}-.3210685{col 36}{space 2} .3087863{col 47}{space 1}   -1.04{col 56}{space 3}0.301{col 64}{space 4}-.9324439{col 77}{space 3} .2903068
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4811312{col 36}{space 2} .5896908{col 47}{space 1}    0.82{col 56}{space 3}0.416{col 64}{space 4}-.6864157{col 77}{space 3} 1.648678
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Generating rug elements
.         gen modelobs=1 if e(sample)==1
{txt}(1,089 missing values generated)

{com}.         gen sym="|"
{txt}
{com}.         gen yaxis=-.25  
{txt}
{com}.         
.         *Calculating marginal effects
.         #delimit ;      
{txt}delimiter now ;
{com}.         margins, at((asobserved) _all l_v2x_libdem = (0(0.02)1))                         
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,605
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:l_v2x_libdem}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0377892{col 26}{space 2} .0917765{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.2195003{col 67}{space 3} .1439218
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0033325{col 26}{space 2} .0847344{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.1711007{col 67}{space 3} .1644357
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0311243{col 26}{space 2} .0779213{col 37}{space 1}    0.40{col 46}{space 3}0.690{col 54}{space 4}-.1231545{col 67}{space 3} .1854031
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .065581{col 26}{space 2} .0714029{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.0757917{col 67}{space 3} .2069538
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1000378{col 26}{space 2} .0652674{col 37}{space 1}    1.53{col 46}{space 3}0.128{col 54}{space 4}-.0291871{col 67}{space 3} .2292627
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1344945{col 26}{space 2} .0596332{col 37}{space 1}    2.26{col 46}{space 3}0.026{col 54}{space 4}  .016425{col 67}{space 3} .2525641
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1689513{col 26}{space 2} .0546555{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .0607373{col 67}{space 3} .2771653
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .203408{col 26}{space 2} .0505287{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .1033648{col 67}{space 3} .3034513
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .2378648{col 26}{space 2} .0474752{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .1438672{col 67}{space 3} .3318624
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .2723216{col 26}{space 2} .0457107{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} .1818176{col 67}{space 3} .3628255
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .3067783{col 26}{space 2} .0453856{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .2169179{col 67}{space 3} .3966387
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .3412351{col 26}{space 2} .0465303{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4} .2491083{col 67}{space 3} .4333618
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .3756918{col 26}{space 2} .0490419{col 37}{space 1}    7.66{col 46}{space 3}0.000{col 54}{space 4} .2785923{col 67}{space 3} .4727913
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .4101486{col 26}{space 2} .0527253{col 37}{space 1}    7.78{col 46}{space 3}0.000{col 54}{space 4}  .305756{col 67}{space 3} .5145411
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .4446053{col 26}{space 2} .0573554{col 37}{space 1}    7.75{col 46}{space 3}0.000{col 54}{space 4} .3310456{col 67}{space 3}  .558165
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .4790621{col 26}{space 2} .0627227{col 37}{space 1}    7.64{col 46}{space 3}0.000{col 54}{space 4} .3548754{col 67}{space 3} .6032488
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .5135188{col 26}{space 2} .0686547{col 37}{space 1}    7.48{col 46}{space 3}0.000{col 54}{space 4} .3775873{col 67}{space 3} .6494503
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .5479756{col 26}{space 2} .0750174{col 37}{space 1}    7.30{col 46}{space 3}0.000{col 54}{space 4} .3994464{col 67}{space 3} .6965048
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .5824324{col 26}{space 2} .0817103{col 37}{space 1}    7.13{col 46}{space 3}0.000{col 54}{space 4} .4206516{col 67}{space 3} .7442131
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .6168891{col 26}{space 2} .0886587{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4} .4413511{col 67}{space 3} .7924271
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .6513459{col 26}{space 2}  .095807{col 37}{space 1}    6.80{col 46}{space 3}0.000{col 54}{space 4} .4616548{col 67}{space 3}  .841037
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .6858026{col 26}{space 2} .1031136{col 37}{space 1}    6.65{col 46}{space 3}0.000{col 54}{space 4} .4816449{col 67}{space 3} .8899602
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .7202594{col 26}{space 2} .1105471{col 37}{space 1}    6.52{col 46}{space 3}0.000{col 54}{space 4} .5013838{col 67}{space 3} .9391349
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .7547161{col 26}{space 2} .1180836{col 37}{space 1}    6.39{col 46}{space 3}0.000{col 54}{space 4} .5209188{col 67}{space 3} .9885134
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .7891729{col 26}{space 2} .1257045{col 37}{space 1}    6.28{col 46}{space 3}0.000{col 54}{space 4} .5402866{col 67}{space 3} 1.038059
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .8236296{col 26}{space 2} .1333955{col 37}{space 1}    6.17{col 46}{space 3}0.000{col 54}{space 4} .5595159{col 67}{space 3} 1.087743
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .8580864{col 26}{space 2} .1411449{col 37}{space 1}    6.08{col 46}{space 3}0.000{col 54}{space 4} .5786292{col 67}{space 3} 1.137543
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .8925432{col 26}{space 2} .1489438{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} .5976448{col 67}{space 3} 1.187442
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .9269999{col 26}{space 2} .1567847{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} .6165771{col 67}{space 3} 1.237423
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .9614566{col 26}{space 2} .1646616{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} .6354381{col 67}{space 3} 1.287475
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .9959135{col 26}{space 2} .1725696{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .6542376{col 67}{space 3} 1.337589
{txt}{space 9}32  {c |}{col 14}{res}{space 2}  1.03037{col 26}{space 2} .1805046{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} .6729836{col 67}{space 3} 1.387757
{txt}{space 9}33  {c |}{col 14}{res}{space 2} 1.064827{col 26}{space 2} .1884632{col 37}{space 1}    5.65{col 46}{space 3}0.000{col 54}{space 4} .6916828{col 67}{space 3} 1.437971
{txt}{space 9}34  {c |}{col 14}{res}{space 2} 1.099284{col 26}{space 2} .1964426{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} .7103411{col 67}{space 3} 1.488226
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  1.13374{col 26}{space 2} .2044402{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4}  .728963{col 67}{space 3} 1.538518
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 1.168197{col 26}{space 2} .2124541{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .7475529{col 67}{space 3} 1.588841
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 1.202654{col 26}{space 2} .2204824{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4} .7661141{col 67}{space 3} 1.639194
{txt}{space 9}38  {c |}{col 14}{res}{space 2} 1.237111{col 26}{space 2} .2285237{col 37}{space 1}    5.41{col 46}{space 3}0.000{col 54}{space 4} .7846497{col 67}{space 3} 1.689572
{txt}{space 9}39  {c |}{col 14}{res}{space 2} 1.271567{col 26}{space 2} .2365766{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .8031623{col 67}{space 3} 1.739973
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 1.306024{col 26}{space 2} .2446399{col 37}{space 1}    5.34{col 46}{space 3}0.000{col 54}{space 4} .8216541{col 67}{space 3} 1.790394
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 1.340481{col 26}{space 2} .2527128{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .8401272{col 67}{space 3} 1.840835
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 1.374938{col 26}{space 2} .2607942{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} .8585833{col 67}{space 3} 1.891292
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 1.409394{col 26}{space 2} .2688834{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .8770239{col 67}{space 3} 1.941765
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 1.443851{col 26}{space 2} .2769798{col 37}{space 1}    5.21{col 46}{space 3}0.000{col 54}{space 4} .8954505{col 67}{space 3} 1.992252
{txt}{space 9}45  {c |}{col 14}{res}{space 2} 1.478308{col 26}{space 2} .2850827{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4}  .913864{col 67}{space 3} 2.042752
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 1.512765{col 26}{space 2} .2931916{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .9322658{col 67}{space 3} 2.093264
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 1.547222{col 26}{space 2}  .301306{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .9506567{col 67}{space 3} 2.143786
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 1.581678{col 26}{space 2} .3094254{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .9690375{col 67}{space 3} 2.194319
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 1.616135{col 26}{space 2} .3175495{col 37}{space 1}    5.09{col 46}{space 3}0.000{col 54}{space 4}  .987409{col 67}{space 3} 2.244861
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 1.650592{col 26}{space 2}  .325678{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} 1.005772{col 67}{space 3} 2.295412
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 1.685049{col 26}{space 2} .3338104{col 37}{space 1}    5.05{col 46}{space 3}0.000{col 54}{space 4} 1.024127{col 67}{space 3}  2.34597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Graph
.         #delimit ;      
{txt}delimiter now ;
{com}.         marginsplot,
>                         recastci(rspike)
>                         ciopts(lcolor(black) lwidth(*1)) 
>                         plotopts(mcolor(black) msize(*.8) lwidth(*1.25) lcolor(black))
>                         ysize(1)
>                         xsize(1.2)
>                         yscale(range(0 2) noextend titlegap(*+5))
>                         xscale(range(0 1) noextend titlegap(*+7))
>                         ylabel(0(.5)2.5, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(0(.1)1)
>                         ytitle("Predicted number of participants")
>                         xtitle("Liberal democracy score")
>                         title("")
>                         legend(off)
>                         plotregion(lcolor(white)) 
>                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                         addplot(scatter yaxis l_v2x_libdem if modelobs==1, 
>                                         mlabposition(0) ms(none) mlabel(sym) mlabcolor(black%20) below
>                                         ylabel(0(.5)2.5, angle(horizontal) nogrid labgap(+1.5))
>                                         xlabel(0(.1)1)
>                                         ) 
>                         ;
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: l_v2x_libdem{p_end}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_7.tif", as(tif) replace width(1500)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_7.tif written in TIFF format)

{com}.         
.         
.         ****************************************************************************
.         *Figure 8. Binary regime variables and seminar participation
.         ****************************************************************************    
.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 //Storing Model in local
>         local model2_3=
>         "       
>         reg allstuds 
>                 i.l_autoc_elect 
>                 i.l_democ_elect 
>                 i.l_democ_liber 
>                 c.l_ln_fuelpc
>                 c.l_ln_rgdpc
>                 c.l_ln_milperratio
>                 i.l_marxinsurg
>                 c.l_v2exl_legitideolcr_1
>                 c.l_hr_mean
>                 i.region6_1
>                 i.region6_2
>                 i.region6_3
>                 i.region6_4
>                 i.region6_5
>                 if sample==1, vce(cluster cowcode)
>         "
>         ;
{txt}
{com}.         //Calculating effects
>         `model2_3';

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     4.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4112
                                                {txt}Root MSE          =    {res} .65039

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.l_autoc_elect {c |}{col 24}{res}{space 2} .1456678{col 36}{space 2} .0810136{col 47}{space 1}    1.80{col 56}{space 3}0.075{col 64}{space 4}-.0147335{col 77}{space 3} .3060691
{txt}{space 7}1.l_democ_elect {c |}{col 24}{res}{space 2} .7479643{col 36}{space 2} .2550234{col 47}{space 1}    2.93{col 56}{space 3}0.004{col 64}{space 4} .2430357{col 77}{space 3} 1.252893
{txt}{space 7}1.l_democ_liber {c |}{col 24}{res}{space 2} 1.265332{col 36}{space 2} .4017148{col 47}{space 1}    3.15{col 56}{space 3}0.002{col 64}{space 4} .4699645{col 77}{space 3} 2.060699
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0024086{col 36}{space 2} .0242367{col 47}{space 1}   -0.10{col 56}{space 3}0.921{col 64}{space 4}-.0503955{col 77}{space 3} .0455783
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0828236{col 36}{space 2} .0829775{col 47}{space 1}   -1.00{col 56}{space 3}0.320{col 64}{space 4}-.2471132{col 77}{space 3}  .081466
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3472271{col 36}{space 2} .1013357{col 47}{space 1}    3.43{col 56}{space 3}0.001{col 64}{space 4} .1465896{col 77}{space 3} .5478647
{txt}{space 8}1.l_marxinsurg {c |}{col 24}{res}{space 2}-.2463761{col 36}{space 2} .1841005{col 47}{space 1}   -1.34{col 56}{space 3}0.183{col 64}{space 4}-.6108822{col 77}{space 3} .1181301
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5642791{col 36}{space 2} .2252303{col 47}{space 1}   -2.51{col 56}{space 3}0.014{col 64}{space 4} -1.01022{col 77}{space 3}-.1183388
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0383765{col 36}{space 2} .0471267{col 47}{space 1}   -0.81{col 56}{space 3}0.417{col 64}{space 4}-.1316841{col 77}{space 3}  .054931
{txt}{space 11}1.region6_1 {c |}{col 24}{res}{space 2}-.0455744{col 36}{space 2} .3014673{col 47}{space 1}   -0.15{col 56}{space 3}0.880{col 64}{space 4}-.6424586{col 77}{space 3} .5513099
{txt}{space 11}1.region6_2 {c |}{col 24}{res}{space 2}-.3345448{col 36}{space 2} .2027971{col 47}{space 1}   -1.65{col 56}{space 3}0.102{col 64}{space 4} -.736069{col 77}{space 3} .0669794
{txt}{space 11}1.region6_3 {c |}{col 24}{res}{space 2}-.1632722{col 36}{space 2} .1980948{col 47}{space 1}   -0.82{col 56}{space 3}0.411{col 64}{space 4}-.5554862{col 77}{space 3} .2289417
{txt}{space 11}1.region6_4 {c |}{col 24}{res}{space 2}-.0724116{col 36}{space 2}  .214877{col 47}{space 1}   -0.34{col 56}{space 3}0.737{col 64}{space 4}-.4978531{col 77}{space 3} .3530298
{txt}{space 11}1.region6_5 {c |}{col 24}{res}{space 2}-.3759121{col 36}{space 2} .3675198{col 47}{space 1}   -1.02{col 56}{space 3}0.308{col 64}{space 4}-1.103576{col 77}{space 3} .3517515
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6873629{col 36}{space 2} .6134728{col 47}{space 1}    1.12{col 56}{space 3}0.265{col 64}{space 4}-.5272705{col 77}{space 3} 1.901996
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         margins, at((asobserved) _all l_autoc_elect=0 l_democ_elect=0 l_democ_libe=0) 
>                          level(95)
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:l_autoc_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_liber}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .0878582{col 26}{space 2}  .080224{col 37}{space 1}    1.10{col 46}{space 3}0.276{col 54}{space 4}-.0709798{col 67}{space 3} .2466962
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_8_1.dta", replace) level(95) idstr("closedautoc");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_8_1.dta saved

{com}.                         //Calculating effects
>         quiet `model2_3';
{txt}
{com}.                                 margins, at((asobserved) _all l_autoc_elect=1 l_democ_elect=0 l_democ_libe=0) 
>                          level(95)
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:l_autoc_elect}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_liber}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  .233526{col 26}{space 2} .0717119{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .0915413{col 67}{space 3} .3755106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_8_2.dta", replace) level(95) idstr("elecautoc");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_8_2.dta saved

{com}.                         //Calculating effects
>         quiet `model2_3';
{txt}
{com}.                         margins, at((asobserved) _all l_autoc_elect=0 l_democ_elect=1 l_democ_libe=0) 
>                          level(95)
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:l_autoc_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_elect}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_liber}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .8358225{col 26}{space 2} .2531389{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .3346251{col 67}{space 3}  1.33702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_8_3.dta", replace) level(95) idstr("elecdemoc");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_8_3.dta saved

{com}.                         //Calculating effects
>         quiet `model2_3';
{txt}
{com}.                                         margins, at((asobserved) _all l_autoc_elect=0 l_democ_elect=0 l_democ_libe=1) 
>                          level(95)
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:l_autoc_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_elect}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:l_democ_liber}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2}  1.35319{col 26}{space 2} .3517935{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .6566635{col 67}{space 3} 2.049717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_8_4.dta", replace) level(95) idstr("libdemoc");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_8_4.dta saved

{com}.                 #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading first effects dataset
.         use "$path\data_figure_8_1.dta", clear
{txt}
{com}.         
.         *Appending other effects datasets
.         foreach num of numlist 2 3 4 {c -(}
{txt}  2{com}.                 append using "$path\data_figure_8_`num'.dta"
{txt}  3{com}.         {c )-} 
{txt}
{com}.         
.         *Generating xaxis
.         sort estimate
{txt}
{com}.         gen xaxis=_n
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 xaxis, lcolor(black) lwidth(*1))
>                    (connected estimate xaxis, mcolor(black) msize(*1) lpattern(dot) lcolor(gs5))        
>                         ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(0.75 4.25) noextend titlegap(*+7))
>                         ylabel(, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(
>                                    1 `" "Closed" "Autocracy" "' 
>                                    2 `" "Electoral" "Autocracy" "' 
>                                    3 `" "Electoral" "Democracy" "' 
>                                    4 `" "Liberal" "Democracy" "'
>                         )
>                         ytitle("Predicted number of participants")
>                         xtitle("Regime type")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_8.tif", as(tif) replace width(1500)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_8.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 9. Within-autocracy differences in attendance
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping obs in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Generating regime indicator
.         gen autoctype=1 if v2x_regime==0 
{txt}(1,175 missing values generated)

{com}.         replace autoctype=0 if v2x_regime==1 
{txt}(682 real changes made)

{com}.         
.         *Keeping observations for autocracies
.         keep if autoctype!=.
{txt}(493 observations deleted)

{com}.         
.         *Keeping years when students attended Seminar
.         keep if allstuds!=0
{txt}(1,838 observations deleted)

{com}.         
.         *Collapsing data by country
.         collapse (sum) allstuds (median) autoctype (first) country_name, by(cowcode)
{txt}
{com}.         
.         *Replacing countries with "middle" category on autocracy type
.         replace autoctype=1 if autoctype==0.5
{txt}(1 real change made)

{com}.         
.         *Generating indicator for countries
.         gen country=1
{txt}
{com}.         
.         *Collapsing data
.         collapse (sum) allstuds country, by(autoctype)
{txt}
{com}.                 
.         *Generating x-axis
.         gen xaxis=0 if autoctype==1
{txt}(1 missing value generated)

{com}.         replace xaxis=1 if autoctype==0
{txt}(1 real change made)

{com}.                 
.         *Graph #1: Number of countries
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline country xaxis if autoctype==1, vertical mcolor(black) lcolor(black) lwidth(*0.5) msize(*1))
>                    (dropline country xaxis if autoctype==0, vertical mcolor(black) mfcolor(white) lcolor(black) lwidth(*0.5) msize(*1.1))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 25) noextend titlegap(*+5))
>                         xscale(range(-.35 1.35) noextend titlegap(*+7))
>                         ylabel(0(10)30, valuelabel angle(horizontal) nogrid labsize(*1))
>                         xlabel(0 `" "Closed" "Autocracy" "' 1 `" "Electoral" "Autocracy" "', labsize(*1))
>                         ytitle("Count")
>                         xtitle("")
>                         title("Countries", size(*.75) box bexpand margin(t=1.25) color(black) fcolor(gs14) lcolor(black) lalign(center))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))
>                         legend(off)
>                         name(country, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         *Graph #2: Number of students
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline allstuds xaxis if autoctype==1, vertical mcolor(black) lcolor(black) lwidth(*0.5) msize(*1))
>                    (dropline allstuds xaxis if autoctype==0, vertical mcolor(black) mfcolor(white) lcolor(black) lwidth(*0.5) msize(*1.1))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 180) noextend titlegap(*+5))
>                         xscale(range(-.35 1.35) noextend titlegap(*+7))
>                         ylabel(0(60)180, valuelabel angle(horizontal) nogrid labsize(*1))
>                         xlabel(0 `" "Closed" "Autocracy" "' 1 `" "Electoral" "Autocracy" "', labsize(*1))
>                         ytitle("Count", color(white))
>                         xtitle("")
>                         title("Participants", size(*.75) box bexpand margin(t=1.25) color(black) fcolor(gs14) lcolor(black) lalign(center))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))
>                         legend(off)
>                         name(students, replace)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Combined graph
.         #delimit ;
{txt}delimiter now ;
{com}.         graph combine country 
>                                   students 
>                                         ,
>                                   rows(1)
>                                   ysize(1) xsize(2)
>                                   iscale(*1.35)
>                                   graphregion(color(white) lcolor(white) lalign(outside))
>                                   ;
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         graph export "$path\figure_9.tif", as(tif) replace width(1500)  
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_9.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 10. Representation of democracies at the time of the Seminar
.         ****************************************************************************
. 
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping years in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Calculating number of countries in each year
.         bys year (cowcode): egen numcountr=total(sample)
{txt}
{com}. 
.         *Calculating number of democracies in each year 
.         bys year (cowcode): egen numdemoc=total(democ)
{txt}
{com}.         
.         *Calculating number 
.         bys year (cowcode): egen numstudsdemoc=total(allstuds) if democ==1
{txt}(2048 missing values generated)

{com}.                 
.         *Collapsing data
.         collapse (sum) allstuds (first) numstudsdemoc numdemoc numcountr, by(year)
{txt}
{com}.         
.         *Calculating shares of democracies      
.         gen share_democ_countrs=(numdemoc/numcountr)*100        
{txt}
{com}.         
.         *Calculating shares of students from democracies
.         gen share_democ_studs=(numstudsdemoc/allstuds)*100
{txt}
{com}.         
.         *Calculating average shares
.         foreach var of varlist share_democ_countrs share_democ_studs {c -(}
{txt}  2{com}.                 egen mean_`var'=mean(`var')
{txt}  3{com}.         {c )-}
{txt}
{com}.         
.         *Reshaping data
.         keep if _n==1
{txt}(16 observations deleted)

{com}.         
.         *Keeping relevant variables
.         keep mean*
{txt}
{com}.         
.         *Reshaping data from wide to long
.         gen help=1
{txt}
{com}.         reshape long mean_@, i(help) j() string
{txt}(note: j = share_democ_countrs share_democ_studs)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}       1   {txt}->{res}       2
{txt}Number of variables            {res}       3   {txt}->{res}       3
{txt}j variable (2 values)                     ->   {res}_j
{txt}xij variables:
{res}mean_share_democ_countrs mean_share_democ_studs{txt}->{res}mean_
{txt}{hline 77}

{com}.         
.         *Generating x-axis
.         gen xaxis=_n
{txt}
{com}.         
.         *Graph 
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (connected mean_ xaxis, mcolor(black) lcolor(black) lwidth(*0.5) msize(*1))
>                         ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 100) noextend titlegap(*+5))
>                         xscale(range(.5 2.5) noextend titlegap(*+7))
>                         ylabel(0(20)100, valuelabel angle(horizontal) nogrid labsize(*1))
>                         xlabel(1 `" "Countries" "with" "democracy" "' 2 `" "Participants" "from" "democracies" "', labsize(*1)) 
>                         ytitle("Percentage")
>                         xtitle("")
>                         xline(1 2, lpattern(solid) lcolor(gs14))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr                             
{txt}delimiter now cr
{com}.         graph export "$path\figure_10.tif", as(tif) replace width(1500) 
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_10.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore                 
{txt}
{com}.                 
.         
.         ****************************************************************************
.         *Figure 11. Relative dominance of participants from democratic countries across time
.         ****************************************************************************
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping obs in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Generating variable on students from democracies and autoracies
.         gen democstuds=allstuds if (v2x_regime==2 | v2x_regime==3) & allstuds>0 & allstuds!=.
{txt}(2,332 missing values generated)

{com}.         gen autocstuds=allstuds if (v2x_regime==0 | v2x_regime==1) & allstuds>0 & allstuds!=.
{txt}(2,331 missing values generated)

{com}.         
.         *Collapsing data
.         collapse (sum) democstuds autocstuds allstuds, by(year)
{txt}
{com}.         
.         *Generating proportion variables
.     gen ratio_democ_autoc=(democstuds/autocstuds)       
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (connected ratio_democ_autoc year, mfcolor(black) mlcolor(black) msize(*1) lcolor(black) lpattern(shortdash) lwidth(*0.75))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 4) noextend titlegap(*+5))
>                         xscale(range( ) noextend titlegap(*+7))
>                         ylabel(0(1)4, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(1952(4)1968)
>                         ytick(, tlength(*0.5))                  
>                         xtick(1952(1)1968, tlength(*0.5))
>                         ytitle("Ratio of democratic to autocratic participants")
>                         xtitle("Year")
>                         yline(1, lpattern(dot) lcolor(black))
>                         graphregion(color(white) lcolor(white) lalign(outside)) 
>                         legend(off)
>                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_11.tif", as(tif) replace width(1500)                 
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_11.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 12. Freedoms across sectors
.         ****************************************************************************    
.         
.         #delimit ;
{txt}delimiter now ;
{com}.                                 //Storing Model in local
>         local model6_3=
>         "
>         reg allstuds
>                 c.l_v2clacfree 
>                 c.l_v2mecenefm
>                 c.l_v2clrspct
>                 c.l_ln_fuelpc
>                 c.l_ln_rgdpc
>                 c.l_ln_milperratio
>                 i.l_marxinsurg
>                 c.l_v2exl_legitideolcr_1
>                 c.l_hr_mean
>                 i.region6_1
>                 i.region6_2
>                 i.region6_3
>                 i.region6_4
>                 i.region6_5
>                 if sample==1, vce(cluster cowcode)
>         "       
>         ;
{txt}
{com}.         //Running model
>         `model6_3';

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     3.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3925
                                                {txt}Root MSE          =    {res} .66061

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2clacfree {c |}{col 24}{res}{space 2} .1385094{col 36}{space 2} .0552295{col 47}{space 1}    2.51{col 56}{space 3}0.013{col 64}{space 4} .0291588{col 77}{space 3} .2478599
{txt}{space 10}l_v2mecenefm {c |}{col 24}{res}{space 2}  .040191{col 36}{space 2} .0470483{col 47}{space 1}    0.85{col 56}{space 3}0.395{col 64}{space 4}-.0529613{col 77}{space 3} .1333432
{txt}{space 11}l_v2clrspct {c |}{col 24}{res}{space 2} .0592604{col 36}{space 2} .0671007{col 47}{space 1}    0.88{col 56}{space 3}0.379{col 64}{space 4}-.0735943{col 77}{space 3} .1921151
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0055446{col 36}{space 2} .0220896{col 47}{space 1}   -0.25{col 56}{space 3}0.802{col 64}{space 4}-.0492805{col 77}{space 3} .0381912
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0376227{col 36}{space 2} .0891473{col 47}{space 1}   -0.42{col 56}{space 3}0.674{col 64}{space 4}-.2141282{col 77}{space 3} .1388827
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3541809{col 36}{space 2} .1026095{col 47}{space 1}    3.45{col 56}{space 3}0.001{col 64}{space 4} .1510212{col 77}{space 3} .5573406
{txt}{space 8}1.l_marxinsurg {c |}{col 24}{res}{space 2}-.2851673{col 36}{space 2} .1686017{col 47}{space 1}   -1.69{col 56}{space 3}0.093{col 64}{space 4}-.6189868{col 77}{space 3} .0486523
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4168923{col 36}{space 2} .2143653{col 47}{space 1}   -1.94{col 56}{space 3}0.054{col 64}{space 4}-.8413207{col 77}{space 3} .0075361
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0476079{col 36}{space 2}  .052189{col 47}{space 1}   -0.91{col 56}{space 3}0.363{col 64}{space 4}-.1509384{col 77}{space 3} .0557226
{txt}{space 11}1.region6_1 {c |}{col 24}{res}{space 2}-.0741418{col 36}{space 2} .2925261{col 47}{space 1}   -0.25{col 56}{space 3}0.800{col 64}{space 4}-.6533232{col 77}{space 3} .5050395
{txt}{space 11}1.region6_2 {c |}{col 24}{res}{space 2}-.3127733{col 36}{space 2} .2156917{col 47}{space 1}   -1.45{col 56}{space 3}0.150{col 64}{space 4}-.7398278{col 77}{space 3} .1142813
{txt}{space 11}1.region6_3 {c |}{col 24}{res}{space 2}-.2222085{col 36}{space 2} .2076691{col 47}{space 1}   -1.07{col 56}{space 3}0.287{col 64}{space 4}-.6333789{col 77}{space 3} .1889619
{txt}{space 11}1.region6_4 {c |}{col 24}{res}{space 2} -.171051{col 36}{space 2} .2039606{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.5748787{col 77}{space 3} .2327767
{txt}{space 11}1.region6_5 {c |}{col 24}{res}{space 2} -.082802{col 36}{space 2} .3444849{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4}-.7648581{col 77}{space 3} .5992541
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}   .57882{col 36}{space 2} .6528448{col 47}{space 1}    0.89{col 56}{space 3}0.377{col 64}{space 4}-.7137672{col 77}{space 3} 1.871407
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                                 //Calculating effects
>         margins, dydx(l_v2clacfree l_v2mecenefm l_v2clrspct)
>                          at((asobserved) _all)                   
>                          level(95) 
>                          post;
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:l_v2clacfree l_v2mecenefm l_v2clrspct}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2clacfree {c |}{col 14}{res}{space 2} .1385094{col 26}{space 2} .0552295{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .0291588{col 67}{space 3} .2478599
{txt}l_v2mecenefm {c |}{col 14}{res}{space 2}  .040191{col 26}{space 2} .0470483{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.0529613{col 67}{space 3} .1333432
{txt}{space 1}l_v2clrspct {c |}{col 14}{res}{space 2} .0592604{col 26}{space 2} .0671007{col 37}{space 1}    0.88{col 46}{space 3}0.379{col 54}{space 4}-.0735943{col 67}{space 3} .1921151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_12.dta", replace) format(estimate min95 max95);
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_12.dta saved

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\data_figure_12.dta", clear
{txt}
{com}.                 
.         *Generating x-axis
.         gen xaxis=1 if regexm(parm, "acfree")
{txt}(2 missing values generated)

{com}.         replace xaxis=3 if regexm(parm, "mec")
{txt}(1 real change made)

{com}.         replace xaxis=2 if regexm(parm, "clr")
{txt}(1 real change made)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 xaxis, lcolor(black) lwidth(*1))
>                    (scatter estimate xaxis, mcolor(black) msize(*1) )   
>                         ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range() noextend titlegap(*+5))
>                         xscale(range(0.75 2.25) noextend titlegap(*+5))
>                         ylabel(, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(
>                                    1 `" "Freedom of" "academia" "' 
>                                    3 `" "Freedom of" "media" "'
>                                    2 `" "Freedom of" "state admin." "'
>                                    , 
>                         )
>                         ytitle("Marginal effect on participation")
>                         xtitle(" ")
>                         yline(0, lpattern(dot) lcolor(black))
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))                       
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_12.tif", as(tif) replace width(1500)         
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_12.tif written in TIFF format)

{com}.                         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 13. Effect of universities and academic freedoms
.         ****************************************************************************            
.         
.         #delimit ;
{txt}delimiter now ;
{com}.                                 //Storing Model in local
>         local model7_3=
>         "
>         reg allstuds 
>                 c.l_ln_v2canuni##c.l_v2clacfree
>                 c.l_ln_fuelpc
>                 c.l_ln_rgdpc
>                 c.l_ln_milperratio
>                 i.l_marxinsurg
>                 c.l_v2exl_legitideolcr_1
>                 c.l_hr_mean
>                 i.region6_1
>                 i.region6_2
>                 i.region6_3
>                 i.region6_4
>                 i.region6_5
>                 if sample==1, vce(cluster cowcode)
>         "       
>         ;
{txt}
{com}.         //Running model
>          `model7_3';

{txt}Linear regression                               Number of obs     = {res}     1,599
                                                {txt}F(14, 119)        =  {res}    14.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5409
                                                {txt}Root MSE          =    {res} .57543

{txt}{ralign 96:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                      allstuds{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      t{col 64}   P>|t|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}l_ln_v2canuni {c |}{col 32}{res}{space 2} .1380512{col 44}{space 2} .0417054{col 55}{space 1}    3.31{col 64}{space 3}0.001{col 72}{space 4} .0554704{col 85}{space 3} .2206321
{txt}{space 18}l_v2clacfree {c |}{col 32}{res}{space 2}-.1390847{col 44}{space 2} .0427154{col 55}{space 1}   -3.26{col 64}{space 3}0.001{col 72}{space 4}-.2236654{col 85}{space 3} -.054504
{txt}{space 30} {c |}
c.l_ln_v2canuni#c.l_v2clacfree {c |}{col 32}{res}{space 2} .1437612{col 44}{space 2} .0192491{col 55}{space 1}    7.47{col 64}{space 3}0.000{col 72}{space 4} .1056461{col 85}{space 3} .1818764
{txt}{space 30} {c |}
{space 19}l_ln_fuelpc {c |}{col 32}{res}{space 2}-.0212437{col 44}{space 2} .0202454{col 55}{space 1}   -1.05{col 64}{space 3}0.296{col 72}{space 4}-.0613317{col 85}{space 3} .0188442
{txt}{space 20}l_ln_rgdpc {c |}{col 32}{res}{space 2}-.0730292{col 44}{space 2}  .062282{col 55}{space 1}   -1.17{col 64}{space 3}0.243{col 72}{space 4}-.1963537{col 85}{space 3} .0502954
{txt}{space 14}l_ln_milperratio {c |}{col 32}{res}{space 2}  .287182{col 44}{space 2} .0841044{col 55}{space 1}    3.41{col 64}{space 3}0.001{col 72}{space 4}  .120647{col 85}{space 3}  .453717
{txt}{space 16}1.l_marxinsurg {c |}{col 32}{res}{space 2}-.1411066{col 44}{space 2}  .153463{col 55}{space 1}   -0.92{col 64}{space 3}0.360{col 72}{space 4}-.4449787{col 85}{space 3} .1627654
{txt}{space 8}l_v2exl_legitideolcr_1 {c |}{col 32}{res}{space 2}-.1829927{col 44}{space 2} .1463766{col 55}{space 1}   -1.25{col 64}{space 3}0.214{col 72}{space 4} -.472833{col 85}{space 3} .1068475
{txt}{space 21}l_hr_mean {c |}{col 32}{res}{space 2}-.0018796{col 44}{space 2} .0294161{col 55}{space 1}   -0.06{col 64}{space 3}0.949{col 72}{space 4}-.0601264{col 85}{space 3} .0563672
{txt}{space 19}1.region6_1 {c |}{col 32}{res}{space 2} .0976625{col 44}{space 2} .2049317{col 55}{space 1}    0.48{col 64}{space 3}0.635{col 72}{space 4}-.3081227{col 85}{space 3} .5034477
{txt}{space 19}1.region6_2 {c |}{col 32}{res}{space 2} -.226525{col 44}{space 2} .1601921{col 55}{space 1}   -1.41{col 64}{space 3}0.160{col 72}{space 4}-.5437213{col 85}{space 3} .0906713
{txt}{space 19}1.region6_3 {c |}{col 32}{res}{space 2}-.0239142{col 44}{space 2} .1652033{col 55}{space 1}   -0.14{col 64}{space 3}0.885{col 72}{space 4}-.3510333{col 85}{space 3} .3032049
{txt}{space 19}1.region6_4 {c |}{col 32}{res}{space 2} .0019657{col 44}{space 2} .1692619{col 55}{space 1}    0.01{col 64}{space 3}0.991{col 72}{space 4}-.3331898{col 85}{space 3} .3371212
{txt}{space 19}1.region6_5 {c |}{col 32}{res}{space 2}-.0933293{col 44}{space 2} .1930185{col 55}{space 1}   -0.48{col 64}{space 3}0.630{col 72}{space 4}-.4755252{col 85}{space 3} .2888667
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}  .488516{col 44}{space 2} .4884161{col 55}{space 1}    1.00{col 64}{space 3}0.319{col 72}{space 4}-.4785965{col 85}{space 3} 1.455629
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                         //Calculating effects
>         margins, dydx(l_v2clacfree)
>                          at((asobserved) _all l_ln_v2canuni = (0(0.1)6))                         
>                          level(95) 
>                          post;
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,599
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:l_v2clacfree}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}1.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}2.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}3.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}4.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 8}5.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:l_ln_v2can~i}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}l_v2clacfree {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1390847{col 26}{space 2} .0427154{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4}-.2236654{col 67}{space 3} -.054504
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1247086{col 26}{space 2} .0414681{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.2068195{col 67}{space 3}-.0425976
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1103324{col 26}{space 2} .0402742{col 37}{space 1}   -2.74{col 46}{space 3}0.007{col 54}{space 4}-.1900795{col 67}{space 3}-.0305854
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0959563{col 26}{space 2} .0391387{col 37}{space 1}   -2.45{col 46}{space 3}0.016{col 54}{space 4}-.1734548{col 67}{space 3}-.0184578
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0815802{col 26}{space 2} .0380666{col 37}{space 1}   -2.14{col 46}{space 3}0.034{col 54}{space 4} -.156956{col 67}{space 3}-.0062044
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0672041{col 26}{space 2} .0370636{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4}-.1405938{col 67}{space 3} .0061856
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0528279{col 26}{space 2} .0361354{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.1243796{col 67}{space 3} .0187238
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0384518{col 26}{space 2} .0352878{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.1083253{col 67}{space 3} .0314216
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0240757{col 26}{space 2} .0345269{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4}-.0924424{col 67}{space 3}  .044291
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0096996{col 26}{space 2} .0338584{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.0767426{col 67}{space 3} .0573435
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0046765{col 26}{space 2}  .033288{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4}-.0612369{col 67}{space 3}   .07059
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0190527{col 26}{space 2} .0328206{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.0459355{col 67}{space 3} .0840408
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0334288{col 26}{space 2} .0324609{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0308471{col 67}{space 3} .0977047
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0478049{col 26}{space 2} .0322124{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0159789{col 67}{space 3} .1115887
{txt}{space 9}15  {c |}{col 14}{res}{space 2}  .062181{col 26}{space 2} .0320777{col 37}{space 1}    1.94{col 46}{space 3}0.055{col 54}{space 4} -.001336{col 67}{space 3} .1256981
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0765571{col 26}{space 2} .0320582{col 37}{space 1}    2.39{col 46}{space 3}0.019{col 54}{space 4} .0130787{col 67}{space 3} .1400356
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0909333{col 26}{space 2} .0321541{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0272649{col 67}{space 3} .1546016
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .1053094{col 26}{space 2} .0323644{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0412246{col 67}{space 3} .1693942
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .1196855{col 26}{space 2}  .032687{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4}  .054962{col 67}{space 3} .1844089
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .1340616{col 26}{space 2} .0331184{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0684839{col 67}{space 3} .1996394
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .1484377{col 26}{space 2} .0336546{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0817983{col 67}{space 3} .2150772
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .1628139{col 26}{space 2} .0342906{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .0949151{col 67}{space 3} .2307126
{txt}{space 9}23  {c |}{col 14}{res}{space 2}   .17719{col 26}{space 2} .0350209{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .1078451{col 67}{space 3} .2465349
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .1915661{col 26}{space 2} .0358399{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .1205995{col 67}{space 3} .2625327
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .2059422{col 26}{space 2} .0367416{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4} .1331903{col 67}{space 3} .2786942
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .2203184{col 26}{space 2}   .03772{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4}  .145629{col 67}{space 3} .2950077
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .2346945{col 26}{space 2} .0387693{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} .1579273{col 67}{space 3} .3114616
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .2490706{col 26}{space 2} .0398841{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4} .1700962{col 67}{space 3}  .328045
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .2634467{col 26}{space 2} .0410588{col 37}{space 1}    6.42{col 46}{space 3}0.000{col 54}{space 4} .1821462{col 67}{space 3} .3447472
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .2778229{col 26}{space 2} .0422885{col 37}{space 1}    6.57{col 46}{space 3}0.000{col 54}{space 4} .1940873{col 67}{space 3} .3615584
{txt}{space 9}31  {c |}{col 14}{res}{space 2}  .292199{col 26}{space 2} .0435687{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} .2059287{col 67}{space 3} .3784693
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .3065751{col 26}{space 2} .0448948{col 37}{space 1}    6.83{col 46}{space 3}0.000{col 54}{space 4} .2176788{col 67}{space 3} .3954713
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .3209512{col 26}{space 2} .0462631{col 37}{space 1}    6.94{col 46}{space 3}0.000{col 54}{space 4} .2293456{col 67}{space 3} .4125568
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .3353273{col 26}{space 2} .0476698{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .2409363{col 67}{space 3} .4297184
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .3497035{col 26}{space 2} .0491117{col 37}{space 1}    7.12{col 46}{space 3}0.000{col 54}{space 4} .2524573{col 67}{space 3} .4469496
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .3640796{col 26}{space 2} .0505858{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} .2639146{col 67}{space 3} .4642445
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .3784557{col 26}{space 2} .0520893{col 37}{space 1}    7.27{col 46}{space 3}0.000{col 54}{space 4} .2753137{col 67}{space 3} .4815977
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .3928318{col 26}{space 2} .0536197{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4} .2866594{col 67}{space 3} .4990042
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .4072079{col 26}{space 2} .0551749{col 37}{space 1}    7.38{col 46}{space 3}0.000{col 54}{space 4} .2979562{col 67}{space 3} .5164597
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .4215841{col 26}{space 2} .0567527{col 37}{space 1}    7.43{col 46}{space 3}0.000{col 54}{space 4}  .309208{col 67}{space 3} .5339601
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .4359602{col 26}{space 2} .0583514{col 37}{space 1}    7.47{col 46}{space 3}0.000{col 54}{space 4} .3204186{col 67}{space 3} .5515017
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .4503363{col 26}{space 2} .0599692{col 37}{space 1}    7.51{col 46}{space 3}0.000{col 54}{space 4} .3315913{col 67}{space 3} .5690813
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .4647124{col 26}{space 2} .0616047{col 37}{space 1}    7.54{col 46}{space 3}0.000{col 54}{space 4} .3427289{col 67}{space 3} .5866958
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .4790886{col 26}{space 2} .0632565{col 37}{space 1}    7.57{col 46}{space 3}0.000{col 54}{space 4} .3538344{col 67}{space 3} .6043427
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .4934647{col 26}{space 2} .0649233{col 37}{space 1}    7.60{col 46}{space 3}0.000{col 54}{space 4}   .36491{col 67}{space 3} .6220194
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .5078408{col 26}{space 2} .0666041{col 37}{space 1}    7.62{col 46}{space 3}0.000{col 54}{space 4}  .375958{col 67}{space 3} .6397235
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .5222169{col 26}{space 2} .0682977{col 37}{space 1}    7.65{col 46}{space 3}0.000{col 54}{space 4} .3869805{col 67}{space 3} .6574532
{txt}{space 9}48  {c |}{col 14}{res}{space 2}  .536593{col 26}{space 2} .0700033{col 37}{space 1}    7.67{col 46}{space 3}0.000{col 54}{space 4} .3979794{col 67}{space 3} .6752066
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .5509692{col 26}{space 2}   .07172{col 37}{space 1}    7.68{col 46}{space 3}0.000{col 54}{space 4} .4089563{col 67}{space 3}  .692982
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .5653453{col 26}{space 2} .0734471{col 37}{space 1}    7.70{col 46}{space 3}0.000{col 54}{space 4} .4199127{col 67}{space 3} .7107778
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5797214{col 26}{space 2} .0751837{col 37}{space 1}    7.71{col 46}{space 3}0.000{col 54}{space 4} .4308501{col 67}{space 3} .7285926
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .5940975{col 26}{space 2} .0769293{col 37}{space 1}    7.72{col 46}{space 3}0.000{col 54}{space 4} .4417698{col 67}{space 3} .7464252
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .6084736{col 26}{space 2} .0786833{col 37}{space 1}    7.73{col 46}{space 3}0.000{col 54}{space 4} .4526728{col 67}{space 3} .7642744
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .6228498{col 26}{space 2} .0804451{col 37}{space 1}    7.74{col 46}{space 3}0.000{col 54}{space 4} .4635605{col 67}{space 3} .7821391
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .6372259{col 26}{space 2} .0822142{col 37}{space 1}    7.75{col 46}{space 3}0.000{col 54}{space 4} .4744336{col 67}{space 3} .8000182
{txt}{space 9}56  {c |}{col 14}{res}{space 2}  .651602{col 26}{space 2} .0839901{col 37}{space 1}    7.76{col 46}{space 3}0.000{col 54}{space 4} .4852931{col 67}{space 3} .8179108
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .6659781{col 26}{space 2} .0857725{col 37}{space 1}    7.76{col 46}{space 3}0.000{col 54}{space 4}   .49614{col 67}{space 3} .8358162
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .6803542{col 26}{space 2} .0875609{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4} .5069748{col 67}{space 3} .8537336
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .6947304{col 26}{space 2}  .089355{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4} .5177985{col 67}{space 3} .8716622
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .7091065{col 26}{space 2} .0911544{col 37}{space 1}    7.78{col 46}{space 3}0.000{col 54}{space 4} .5286116{col 67}{space 3} .8896014
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .7234826{col 26}{space 2} .0929589{col 37}{space 1}    7.78{col 46}{space 3}0.000{col 54}{space 4} .5394147{col 67}{space 3} .9075505
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_13.dta", replace) format(estimate min95 max95) idstr("l_ln_v2canuni_X_l_v2clacfree");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_13.dta saved

{com}.                 #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\data_figure_13.dta", clear   
{txt}
{com}.         
.         *Generating x-axis
.         gen rank=regexs(0) if regexm(parm,"^[0-9]+")
{txt}
{com}.         destring rank, replace
{txt}rank: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         gen xaxis=(_n-1)*0.1
{txt}
{com}.         gen axsis_rescale=exp(xaxis)
{txt}
{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 xaxis, lcolor(black) lwidth(*1))
>                    (connected estimate xaxis, mcolor(black) msize(*.6) lwidth(*1.25) lcolor(black) )    
>                         ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range( ) noextend titlegap(*+5))
>                         xscale(range(0 6) noextend titlegap(*+5))
>                         ylabel(, angle(horizontal) nogrid labgap(+1))
>                         xlabel(0(1)6)
>                         ytitle("Marginal effect of academic freedom" "on participation in International Seminar")
>                         xtitle("Number of universities (log)")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_13.tif", as(tif) replace width(1500)         
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_13.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 14. Distribution of Confluence journal
.         ****************************************************************************
.         
.         *Preserving data
.         preserve        
{txt}
{com}.         
.         *Generating region indicator for target audience of Confluence journal (Europe + Northern America)
.         gen confluence_region=1 if (e_regiongeo==1 | e_regiongeo==2 |  e_regiongeo==3 |  e_regiongeo==4 |  e_regiongeo==16) & cowcode!=2        
{txt}(2,172 missing values generated)

{com}.         
.         *Generating label variables
.         gen labvar=country_name if ln_issuesize>=1 & ln_issuesize!=.
{txt}(2,679 missing values generated)

{com}.         replace labvar="Germany (West)" if country_name=="German Federal Republic" 
{txt}(18 real changes made)

{com}.         gen labpos=2
{txt}
{com}.         replace labpos=10 if cowcode==305
{txt}(18 real changes made)

{com}.         replace labpos=9 if cowcode==210
{txt}(18 real changes made)

{com}.         replace labpos=12 if cowcode==211
{txt}(18 real changes made)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (scatter ln_issuesize v2x_libdem if confluence_region==1, mlwidth(0) mfcolor(gs3%40) mlabel(labvar) mlabsize(*.8) mlabcolor(black) mlabvposition(labpos)) 
>                    (lfit ln_issuesize v2x_libdem if confluence_region==1, lcolor(black) lpattern(solid) lwidth(*1.5))
>                         ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0 8) noextend titlegap(*+5))
>                         xscale(range(0 1) noextend titlegap(*+7))
>                         ylabel(0(2)8, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(0(.1)1)
>                         ytitle("Number of copies (logged)")
>                         xtitle("Liberal democracy score")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_14.tif", as(tif) replace width(1500) 
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_14.tif written in TIFF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure 15. Foreign policy of former participants
.         ****************************************************************************    
.         
.         *Loading dataset
.         use "$path\replication_data_figure_15.dta", clear
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.                 
.         *Graph #1: United States
.         #delimit ;      
{txt}delimiter now ;
{com}.         twoway (line mean_us_fpsim_selec fullwin_selec, lcolor(black) lpattern(shortdash) lwidth(*1))
>                    (dropline mean_us_fpsim_selec fullwin_selec, mcolor(black) msize(*1) lcolor(black) lwidth(*1))               
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(-0.2 0.2) noline titlegap(*+5))
>                                         xscale(range(-3.25 3.25) noline titlegap(*+10)) 
>                                         ylabel(-0.2(0.1)0.2, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-3(1)0 1 "+1" 2 "+2" 3 "+3",
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Similarity with foreign policy", size(*1.1))
>                                         xtitle("Year", size(*1.1))
>                                         legend(off)     
>                                         yline(0,lcolor(gs12))
>                                         plotregion(lcolor(black) lalign(outside))
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         subtitle("United States", size(*1) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))
>                                         name(us_fpsim, replace) 
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Graph #1: Soviet Union
.         #delimit ;      
{txt}delimiter now ;
{com}.         twoway (line mean_rus_fpsim_selec fullwin_selec, lcolor(black) lpattern(shortdash) lwidth(*1))
>                    (dropline mean_rus_fpsim_selec fullwin_selec, mcolor(black) msize(*1) lcolor(black) lwidth(*1))              
>                                         ,
>                                         ysize(1)
>                                         xsize(1.1) 
>                                         yscale(range(-0.2 0.2) noline titlegap(*+5))
>                                         xscale(range(-3.25 3.25) noline titlegap(*+10)) 
>                                         ylabel(-0.2(0.1)0.2, 
>                                                         nogrid labsize(*.9) angle(0)
>                                         )
>                                         xlabel(-3(1)0 1 "+1" 2 "+2" 3 "+3",
>                                                         labsize(*.9)
>                                         )
>                                         xticks(,tlength(*1))
>                                         xline(0, lcolor(gs15) lwidth(*20))
>                                         ytitle("Similarity with foreign policy", size(*1.1) color(white))
>                                         xtitle("Year", size(*1.1))
>                                         legend(off)     
>                                         yline(0,lcolor(gs12))
>                                         plotregion(lcolor(black) lalign(outside))
>                                         graphregion(color(white) lcolor(white) lalign(outside))
>                                         subtitle("Soviet Union", size(*1) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))
>                                         name(rus_fpsim, replace)
>                                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                         
.         *Combined graph 
.         #delimit ;      
{txt}delimiter now ;
{com}.         graph combine us_fpsim rus_fpsim
>                   ,
>                   row(1)
>                   iscale(*1.2)
>                   ysize(1)
>                   xsize(1.75)
>                   graphregion(color(white) lcolor(white) lalign(outside))       
>                   ;
{res}{txt}
{com}.         #delimit cr                             
{txt}delimiter now cr
{com}.         graph export "$path\figure_15.tif", as(tif) replace width(1500) 
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_15.tif written in TIFF format)

{com}. 
.         
.         ****************************************************************************
.         *Figure 16. Seminar participation and subsequent state visits by Kissinger
.         ****************************************************************************
.         
.         *Loading dataset
.         use "$path\replication_data_analysis_2.dta", clear
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.                                 //Storing Model in local
>         local model19_2=
>         "       
>         reg ln_nsctravel 
>                 c.allstuds_state 
>                 c.allstuds_edu 
>                 c.allstuds_mediacul 
>                 c.v2x_libdem 
>                 c.mean_ln_milperratio 
>                 i.y2
>                 i.y3
>                 i.y4
>                 i.y5
>                 i.y6
>                 i.y7    
>                 i.y8            
>                 i.region19_2
>                 i.region19_3            
>                 i.region19_4            
>                 i.region19_5            
>                 i.region19_6
>                 i.region19_7            
>                 i.region19_8            
>                 i.region19_9
>                 i.region19_10
>                 i.region19_11           
>                 i.region19_12           
>                 i.region19_13
>                 i.region19_14
>                 i.region19_15           
>                 i.region19_16           
>                 i.region19_17                   
>                 i.region19_18
>                 ,
>                 robust
>         "       
>         ;
{txt}
{com}.                 //Running model
>         `model19_2';

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(29, 1033)       =  {res}     1.03
                                                {txt}Prob > F          = {res}    0.4180
                                                {txt}R-squared         = {res}    0.1126
                                                {txt}Root MSE          =    {res}  .1063

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       ln_nsctravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allstuds_state {c |}{col 21}{res}{space 2} -.000481{col 33}{space 2} .0021911{col 44}{space 1}   -0.22{col 53}{space 3}0.826{col 61}{space 4}-.0047805{col 74}{space 3} .0038184
{txt}{space 7}allstuds_edu {c |}{col 21}{res}{space 2}-.0000207{col 33}{space 2} .0033093{col 44}{space 1}   -0.01{col 53}{space 3}0.995{col 61}{space 4}-.0065143{col 74}{space 3}  .006473
{txt}{space 2}allstuds_mediacul {c |}{col 21}{res}{space 2} .0020204{col 33}{space 2}  .002197{col 44}{space 1}    0.92{col 53}{space 3}0.358{col 61}{space 4}-.0022907{col 74}{space 3} .0063315
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2}-.0005899{col 33}{space 2} .0173715{col 44}{space 1}   -0.03{col 53}{space 3}0.973{col 61}{space 4}-.0346773{col 74}{space 3} .0334975
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0258249{col 33}{space 2} .0112294{col 44}{space 1}    2.30{col 53}{space 3}0.022{col 61}{space 4} .0037897{col 74}{space 3}   .04786
{txt}{space 15}1.y2 {c |}{col 21}{res}{space 2}-.0573284{col 33}{space 2} .0156501{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880381{col 74}{space 3}-.0266188
{txt}{space 15}1.y3 {c |}{col 21}{res}{space 2}-.0334326{col 33}{space 2} .0193286{col 44}{space 1}   -1.73{col 53}{space 3}0.084{col 61}{space 4}-.0713603{col 74}{space 3} .0044951
{txt}{space 15}1.y4 {c |}{col 21}{res}{space 2}-.0364827{col 33}{space 2} .0182998{col 44}{space 1}   -1.99{col 53}{space 3}0.046{col 61}{space 4}-.0723918{col 74}{space 3}-.0005735
{txt}{space 15}1.y5 {c |}{col 21}{res}{space 2}-.0230133{col 33}{space 2} .0203799{col 44}{space 1}   -1.13{col 53}{space 3}0.259{col 61}{space 4} -.063004{col 74}{space 3} .0169774
{txt}{space 15}1.y6 {c |}{col 21}{res}{space 2}-.0573309{col 33}{space 2} .0156599{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880597{col 74}{space 3}-.0266021
{txt}{space 15}1.y7 {c |}{col 21}{res}{space 2} -.057329{col 33}{space 2} .0156524{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880432{col 74}{space 3}-.0266149
{txt}{space 15}1.y8 {c |}{col 21}{res}{space 2}-.0569415{col 33}{space 2} .0156268{col 44}{space 1}   -3.64{col 53}{space 3}0.000{col 61}{space 4}-.0876054{col 74}{space 3}-.0262775
{txt}{space 7}1.region19_2 {c |}{col 21}{res}{space 2} .0160556{col 33}{space 2} .0324372{col 44}{space 1}    0.49{col 53}{space 3}0.621{col 61}{space 4}-.0475947{col 74}{space 3} .0797058
{txt}{space 7}1.region19_3 {c |}{col 21}{res}{space 2}-.0269281{col 33}{space 2} .0324954{col 44}{space 1}   -0.83{col 53}{space 3}0.407{col 61}{space 4}-.0906927{col 74}{space 3} .0368365
{txt}{space 7}1.region19_4 {c |}{col 21}{res}{space 2}-.0272614{col 33}{space 2} .0349277{col 44}{space 1}   -0.78{col 53}{space 3}0.435{col 61}{space 4}-.0957986{col 74}{space 3} .0412759
{txt}{space 7}1.region19_5 {c |}{col 21}{res}{space 2}-.0223942{col 33}{space 2} .0218067{col 44}{space 1}   -1.03{col 53}{space 3}0.305{col 61}{space 4}-.0651847{col 74}{space 3} .0203963
{txt}{space 7}1.region19_6 {c |}{col 21}{res}{space 2}-.0022366{col 33}{space 2} .0225911{col 44}{space 1}   -0.10{col 53}{space 3}0.921{col 61}{space 4}-.0465663{col 74}{space 3} .0420932
{txt}{space 7}1.region19_7 {c |}{col 21}{res}{space 2}-.0025658{col 33}{space 2} .0234119{col 44}{space 1}   -0.11{col 53}{space 3}0.913{col 61}{space 4}-.0485062{col 74}{space 3} .0433746
{txt}{space 7}1.region19_8 {c |}{col 21}{res}{space 2}-.0041261{col 33}{space 2} .0219078{col 44}{space 1}   -0.19{col 53}{space 3}0.851{col 61}{space 4}-.0471149{col 74}{space 3} .0388626
{txt}{space 7}1.region19_9 {c |}{col 21}{res}{space 2}-.0028661{col 33}{space 2} .0219361{col 44}{space 1}   -0.13{col 53}{space 3}0.896{col 61}{space 4}-.0459104{col 74}{space 3} .0401783
{txt}{space 6}1.region19_10 {c |}{col 21}{res}{space 2}-.0211868{col 33}{space 2} .0213907{col 44}{space 1}   -0.99{col 53}{space 3}0.322{col 61}{space 4} -.063161{col 74}{space 3} .0207874
{txt}{space 6}1.region19_11 {c |}{col 21}{res}{space 2}-.0199515{col 33}{space 2}  .032052{col 44}{space 1}   -0.62{col 53}{space 3}0.534{col 61}{space 4}-.0828459{col 74}{space 3} .0429429
{txt}{space 6}1.region19_12 {c |}{col 21}{res}{space 2} .0073851{col 33}{space 2} .0283771{col 44}{space 1}    0.26{col 53}{space 3}0.795{col 61}{space 4}-.0482982{col 74}{space 3} .0630684
{txt}{space 6}1.region19_13 {c |}{col 21}{res}{space 2} .0003526{col 33}{space 2} .0316693{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.0617909{col 74}{space 3} .0624961
{txt}{space 6}1.region19_14 {c |}{col 21}{res}{space 2}-.0160963{col 33}{space 2} .0215899{col 44}{space 1}   -0.75{col 53}{space 3}0.456{col 61}{space 4}-.0584613{col 74}{space 3} .0262687
{txt}{space 6}1.region19_15 {c |}{col 21}{res}{space 2} .0467517{col 33}{space 2} .0855174{col 44}{space 1}    0.55{col 53}{space 3}0.585{col 61}{space 4} -.121056{col 74}{space 3} .2145593
{txt}{space 6}1.region19_16 {c |}{col 21}{res}{space 2}-.0061674{col 33}{space 2} .0218216{col 44}{space 1}   -0.28{col 53}{space 3}0.778{col 61}{space 4}-.0489871{col 74}{space 3} .0366522
{txt}{space 6}1.region19_17 {c |}{col 21}{res}{space 2}-.0195511{col 33}{space 2} .0205772{col 44}{space 1}   -0.95{col 53}{space 3}0.342{col 61}{space 4}-.0599288{col 74}{space 3} .0208267
{txt}{space 6}1.region19_18 {c |}{col 21}{res}{space 2}-.0066195{col 33}{space 2} .0211274{col 44}{space 1}   -0.31{col 53}{space 3}0.754{col 61}{space 4}-.0480771{col 74}{space 3} .0348381
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0389195{col 33}{space 2} .0288651{col 44}{space 1}    1.35{col 53}{space 3}0.178{col 61}{space 4}-.0177214{col 74}{space 3} .0955605
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                                 //Calculating effects
>         margins, dydx(allstuds_state allstuds_edu allstuds_mediacul)
>                          expression((exp(predict(xb)))-1)
>                          at((asobserved) _all)                   
>                          level(95) 
>                          post;
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,063
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:(exp(predict(xb)))-1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:allstuds_state allstuds_edu allstuds_mediacul}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}      dy/dx{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allstuds_state {c |}{col 19}{res}{space 2}-.0004897{col 31}{space 2} .0022305{col 42}{space 1}   -0.22{col 51}{space 3}0.826{col 59}{space 4}-.0048614{col 72}{space 3} .0038821
{txt}{space 5}allstuds_edu {c |}{col 19}{res}{space 2}-.0000211{col 31}{space 2} .0033686{col 42}{space 1}   -0.01{col 51}{space 3}0.995{col 59}{space 4}-.0066234{col 72}{space 3} .0065813
{txt}allstuds_mediacul {c |}{col 19}{res}{space 2} .0020566{col 31}{space 2} .0022375{col 42}{space 1}    0.92{col 51}{space 3}0.358{col 59}{space 4}-.0023289{col 72}{space 3} .0064421
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_13_1.dta", replace) format(estimate min95 max95) idstr("nsc");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_13_1.dta saved

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.                                 //Storing Model in local
>         local model19_4=
>         "       
>         reg ln_secstatetravel 
>                 c.allstuds_state 
>                 c.allstuds_edu 
>                 c.allstuds_mediacul 
>                 c.v2x_libdem 
>                 c.mean_ln_milperratio 
>                 i.y2
>                 i.y3
>                 i.y4
>                 i.y5
>                 i.y6
>                 i.y7    
>                 i.y8            
>                 i.region19_2
>                 i.region19_3            
>                 i.region19_4            
>                 i.region19_5            
>                 i.region19_6
>                 i.region19_7            
>                 i.region19_8            
>                 i.region19_9
>                 i.region19_10
>                 i.region19_11           
>                 i.region19_12           
>                 i.region19_13
>                 i.region19_14
>                 i.region19_15           
>                 i.region19_16           
>                 i.region19_17                   
>                 i.region19_18
>                 ,
>                 robust
>         "
>         ;
{txt}
{com}.                 //Running model
>         `model19_4';

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(29, 1033)       =  {res}     5.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2554
                                                {txt}Root MSE          =    {res} .28599

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}  ln_secstatetravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allstuds_state {c |}{col 21}{res}{space 2}-.0046542{col 33}{space 2} .0054607{col 44}{space 1}   -0.85{col 53}{space 3}0.394{col 61}{space 4}-.0153694{col 74}{space 3} .0060611
{txt}{space 7}allstuds_edu {c |}{col 21}{res}{space 2} .0163064{col 33}{space 2} .0071451{col 44}{space 1}    2.28{col 53}{space 3}0.023{col 61}{space 4} .0022857{col 74}{space 3}  .030327
{txt}{space 2}allstuds_mediacul {c |}{col 21}{res}{space 2} .0039994{col 33}{space 2} .0050933{col 44}{space 1}    0.79{col 53}{space 3}0.432{col 61}{space 4} -.005995{col 74}{space 3} .0139938
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2} .1139103{col 33}{space 2} .0720966{col 44}{space 1}    1.58{col 53}{space 3}0.114{col 61}{space 4}-.0275622{col 74}{space 3} .2553829
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0650758{col 33}{space 2} .0186875{col 44}{space 1}    3.48{col 53}{space 3}0.001{col 61}{space 4}  .028406{col 74}{space 3} .1017455
{txt}{space 15}1.y2 {c |}{col 21}{res}{space 2} .0000934{col 33}{space 2} .0157209{col 44}{space 1}    0.01{col 53}{space 3}0.995{col 61}{space 4}-.0307551{col 74}{space 3} .0309418
{txt}{space 15}1.y3 {c |}{col 21}{res}{space 2}-.0000462{col 33}{space 2} .0157192{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-.0308914{col 74}{space 3} .0307989
{txt}{space 15}1.y4 {c |}{col 21}{res}{space 2} .0002355{col 33}{space 2} .0157405{col 44}{space 1}    0.01{col 53}{space 3}0.988{col 61}{space 4}-.0306515{col 74}{space 3} .0311226
{txt}{space 15}1.y5 {c |}{col 21}{res}{space 2} .1254136{col 33}{space 2}  .024642{col 44}{space 1}    5.09{col 53}{space 3}0.000{col 61}{space 4} .0770595{col 74}{space 3} .1737677
{txt}{space 15}1.y6 {c |}{col 21}{res}{space 2} .2589152{col 33}{space 2} .0415825{col 44}{space 1}    6.23{col 53}{space 3}0.000{col 61}{space 4} .1773193{col 74}{space 3} .3405111
{txt}{space 15}1.y7 {c |}{col 21}{res}{space 2} .2029533{col 33}{space 2} .0365433{col 44}{space 1}    5.55{col 53}{space 3}0.000{col 61}{space 4} .1312456{col 74}{space 3} .2746609
{txt}{space 15}1.y8 {c |}{col 21}{res}{space 2} .2135565{col 33}{space 2} .0355228{col 44}{space 1}    6.01{col 53}{space 3}0.000{col 61}{space 4} .1438514{col 74}{space 3} .2832615
{txt}{space 7}1.region19_2 {c |}{col 21}{res}{space 2}-.1252615{col 33}{space 2} .0783151{col 44}{space 1}   -1.60{col 53}{space 3}0.110{col 61}{space 4}-.2789364{col 74}{space 3} .0284134
{txt}{space 7}1.region19_3 {c |}{col 21}{res}{space 2}-.1935608{col 33}{space 2} .0721513{col 44}{space 1}   -2.68{col 53}{space 3}0.007{col 61}{space 4}-.3351407{col 74}{space 3} -.051981
{txt}{space 7}1.region19_4 {c |}{col 21}{res}{space 2}-.1878008{col 33}{space 2} .0748786{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.3347324{col 74}{space 3}-.0408692
{txt}{space 7}1.region19_5 {c |}{col 21}{res}{space 2} .0214824{col 33}{space 2} .0900073{col 44}{space 1}    0.24{col 53}{space 3}0.811{col 61}{space 4}-.1551356{col 74}{space 3} .1981004
{txt}{space 7}1.region19_6 {c |}{col 21}{res}{space 2}-.1058597{col 33}{space 2} .0690841{col 44}{space 1}   -1.53{col 53}{space 3}0.126{col 61}{space 4}-.2414208{col 74}{space 3} .0297014
{txt}{space 7}1.region19_7 {c |}{col 21}{res}{space 2}-.0924222{col 33}{space 2}  .074369{col 44}{space 1}   -1.24{col 53}{space 3}0.214{col 61}{space 4}-.2383538{col 74}{space 3} .0535094
{txt}{space 7}1.region19_8 {c |}{col 21}{res}{space 2}-.0831685{col 33}{space 2} .0710555{col 44}{space 1}   -1.17{col 53}{space 3}0.242{col 61}{space 4} -.222598{col 74}{space 3} .0562611
{txt}{space 7}1.region19_9 {c |}{col 21}{res}{space 2}-.1036965{col 33}{space 2} .0699129{col 44}{space 1}   -1.48{col 53}{space 3}0.138{col 61}{space 4} -.240884{col 74}{space 3}  .033491
{txt}{space 6}1.region19_10 {c |}{col 21}{res}{space 2}  .051967{col 33}{space 2} .0878354{col 44}{space 1}    0.59{col 53}{space 3}0.554{col 61}{space 4}-.1203892{col 74}{space 3} .2243232
{txt}{space 6}1.region19_11 {c |}{col 21}{res}{space 2}-.1899086{col 33}{space 2} .0815542{col 44}{space 1}   -2.33{col 53}{space 3}0.020{col 61}{space 4}-.3499395{col 74}{space 3}-.0298778
{txt}{space 6}1.region19_12 {c |}{col 21}{res}{space 2}-.1920749{col 33}{space 2} .0664478{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4} -.322463{col 74}{space 3}-.0616867
{txt}{space 6}1.region19_13 {c |}{col 21}{res}{space 2}-.1508037{col 33}{space 2} .0746117{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-.2972114{col 74}{space 3} -.004396
{txt}{space 6}1.region19_14 {c |}{col 21}{res}{space 2}-.2269194{col 33}{space 2} .0668278{col 44}{space 1}   -3.40{col 53}{space 3}0.001{col 61}{space 4}-.3580531{col 74}{space 3}-.0957857
{txt}{space 6}1.region19_15 {c |}{col 21}{res}{space 2}-.0575021{col 33}{space 2} .1373237{col 44}{space 1}   -0.42{col 53}{space 3}0.675{col 61}{space 4}-.3269674{col 74}{space 3} .2119631
{txt}{space 6}1.region19_16 {c |}{col 21}{res}{space 2}-.0467078{col 33}{space 2} .0753652{col 44}{space 1}   -0.62{col 53}{space 3}0.536{col 61}{space 4}-.1945941{col 74}{space 3} .1011785
{txt}{space 6}1.region19_17 {c |}{col 21}{res}{space 2}-.1188795{col 33}{space 2} .0658194{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-.2480345{col 74}{space 3} .0102755
{txt}{space 6}1.region19_18 {c |}{col 21}{res}{space 2}-.1288948{col 33}{space 2} .0653986{col 44}{space 1}   -1.97{col 53}{space 3}0.049{col 61}{space 4}-.2572241{col 74}{space 3}-.0005655
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.0087003{col 33}{space 2} .0750863{col 44}{space 1}   -0.12{col 53}{space 3}0.908{col 61}{space 4}-.1560394{col 74}{space 3} .1386387
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                                 //Calculating effects
>         margins, dydx(allstuds_state allstuds_edu allstuds_mediacul)
>                          expression((exp(predict(xb)))-1)
>                          at((asobserved) _all)                   
>                          level(95) 
>                          post;
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,063
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:(exp(predict(xb)))-1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:allstuds_state allstuds_edu allstuds_mediacul}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}      dy/dx{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}allstuds_state {c |}{col 19}{res}{space 2}-.0052166{col 31}{space 2} .0061202{col 42}{space 1}   -0.85{col 51}{space 3}0.394{col 59}{space 4} -.017212{col 72}{space 3} .0067787
{txt}{space 5}allstuds_edu {c |}{col 19}{res}{space 2}  .018277{col 31}{space 2} .0080209{col 42}{space 1}    2.28{col 51}{space 3}0.023{col 59}{space 4} .0025564{col 72}{space 3} .0339976
{txt}allstuds_mediacul {c |}{col 19}{res}{space 2} .0044827{col 31}{space 2}  .005719{col 42}{space 1}    0.78{col 51}{space 3}0.433{col 59}{space 4}-.0067262{col 72}{space 3} .0156917
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_13_2.dta", replace) format(estimate min95 max95) idstr("secstate");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_13_2.dta saved

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Loading data
.         use "$path\data_figure_13_1.dta", clear         
{txt}
{com}.         append using "$path\data_figure_13_2.dta"       
{txt}{p 0 7 2}
(note: variable
idstr was 
str3, now str8 to accommodate using data's values)
{p_end}

{com}.         
.         *Generating group variable
.         egen depvar=group(idstr)
{txt}
{com}.         
.         *Generating x-axis
.         gen yaxis = .
{txt}(6 missing values generated)

{com}.         replace yaxis = 3 if parm=="allstuds_edu"
{txt}(2 real changes made)

{com}.         replace yaxis = 2 if parm=="allstuds_mediacul"
{txt}(2 real changes made)

{com}.         replace yaxis = 1 if parm=="allstuds_state"
{txt}(2 real changes made)

{com}.         
.         sort depvar yaxis
{txt}
{com}.         
.         *Labeling group variable
.         #delimit ;
{txt}delimiter now ;
{com}.         label define vars 
>                         1 "National Security Advisor"
>                         2 "Secretary of State"
>                         ;
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         label values depvar vars        
{txt}
{com}.         
.         *Graph
.         #delimit ;              
{txt}delimiter now ;
{com}.         twoway rspike min95 max95 yaxis, //95% CI
>                                          horizontal lcolor(black) lwidth(*1)    
>                   || scatter yaxis  estimate if yaxis==1, //Mean                          
>                                  msymbol(o) msize(*1.5) mlwidth(*1.5) mcolor(black) mfcolor(white) mlalign(center)
>                   || scatter yaxis estimate if yaxis==2, //Mean                   
>                                  msymbol(o) msize(*1.5) mlwidth(*1.5) mcolor(black) mfcolor(gs14) mlalign(center)
>                   || scatter yaxis estimate if yaxis==3, //Mean                   
>                                  msymbol(o) msize(*1.5) mlwidth(*1.5) mcolor(black) mfcolor(black) mlalign(center)               
>                                  by(depvar, row(1) legend(off)
>                                         note("") graphregion(color(white) lcolor(white) lalign(outside))
>                                         imargin(0 *1.25 0 0)
>                                  ) 
>                                  xsize(1.5) 
>                                  ysize(1)
>                                  xscale(range(-.02 .04) noline)
>                                  yscale(range(0.5 3.5) noline)                           
>                      ylabel(1 "State/Politics" 2 "Media/Culture" 3 "Education", nogrid angle(0) labsize(*1.2)) 
>                                  xlabel(-.02(0.01).04, angle(horizontal) nogrid labsize(*1.1))
>                                  xticks()
>                                  xline(0,lpattern(shortdash) lwidth(thin) lcolor(black))
>                                  subtitle(, size(*1.1) lcolor(black))
>                                  ytitle(" ", size(*1.1))
>                                  xtitle("         Marginal effect on visits", color(black) size(*1.1)  margin(0 -15 0 0))
>                                  subtitle(, size(*1) box bexpand margin(t=1.25) fcolor(gs14) lcolor(black) lalign(center))
>                                  plotregion(lcolor(black))      
>                                  ;
{p 0 4 2}
{txt}(note:  named style
* not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_16.tif", as(tif) replace width(1500) 
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_16.tif written in TIFF format)

{com}. 
.         
.         
. ********************************************************************************
. *
. * Figures in supporting information
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Figure SM.1.1. Global participation
.         ****************************************************************************    
.         
.         *Loading dataset
.         use "$path\replication_data_figure_SM_1_1.dta", clear
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         spmap allstuds using "$path\replication_data_figure_SM_1_1_shapes.dta", 
>                   id(_ID)
>                   clmethod(custom)
>                   clbreaks(0 0.9 5.5 15.5 30.5 60)
>                   ocolor(black)
>                   osize(0.04)
>                   fcolor("250 250 250" "189 215 231" "107 174 214" "49 130 189" "8 81 156")
>                  legtitle("Number of participants")              
>                  legend(symy(*1.7) symx(*1.7) size(*1.7)
>                  label(2 "0") 
>                  label(3 "1-5") 
>                  label(4 "6-15") 
>                  label(5 "16-30") 
>                  label(6 "31-60") 
>                  )              
>         ;
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         graph export "$path\figure_SM_1_1.pdf", replace as(pdf)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_SM_1_1.pdf written in PDF format)

{com}.         
.         
.         ****************************************************************************
.         *Figure SM.2.1. Substantive effect of age of democracy
.         ****************************************************************************            
.         
.         *Loading dataset        
.         use "$path\replication_data_analysis_1.dta", clear      
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.         
.         *Calculating effects
.         #delimit ;
{txt}delimiter now ;
{com}.                                 //Storing Model in local
>         local model21_3=
>         "
>         reg allstuds 
>                 c.democ_years##c.democ_years##c.democ_years
>                 c.l_ln_fuelpc
>                 c.l_ln_rgdpc
>                 c.l_ln_milperratio
>                 i.l_marxinsurg
>                 c.l_v2exl_legitideolcr_1
>                 c.l_hr_mean
>                 i.region6_1
>                 i.region6_2
>                 i.region6_3
>                 i.region6_4
>                 i.region6_5
>                 if sample==1, vce(cluster cowcode)
>         "       
>         ;
{txt}
{com}.         //Running model
>          `model21_3';

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     6.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3980
                                                {txt}Root MSE          =    {res} .65765

{txt}{ralign 107:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 42}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 43}{c |}{col 55}    Robust
{col 1}                                 allstuds{col 43}{c |}      Coef.{col 55}   Std. Err.{col 67}      t{col 75}   P>|t|{col 83}     [95% Con{col 96}f. Interval]
{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}democ_years {c |}{col 43}{res}{space 2} 3.054424{col 55}{space 2} 1.028513{col 66}{space 1}    2.97{col 75}{space 3}0.004{col 83}{space 4}  1.01804{col 96}{space 3} 5.090808
{txt}{space 41} {c |}
{space 14}c.democ_years#c.democ_years {c |}{col 43}{res}{space 2} -2.90349{col 55}{space 2} 1.216772{col 66}{space 1}   -2.39{col 75}{space 3}0.019{col 83}{space 4}-5.312613{col 96}{space 3}-.4943663
{txt}{space 41} {c |}
c.democ_years#c.democ_years#c.democ_years {c |}{col 43}{res}{space 2} .7757567{col 55}{space 2} .3802437{col 66}{space 1}    2.04{col 75}{space 3}0.044{col 83}{space 4} .0229006{col 96}{space 3} 1.528613
{txt}{space 41} {c |}
{space 30}l_ln_fuelpc {c |}{col 43}{res}{space 2}-.0072385{col 55}{space 2} .0251579{col 66}{space 1}   -0.29{col 75}{space 3}0.774{col 83}{space 4}-.0570493{col 96}{space 3} .0425723
{txt}{space 31}l_ln_rgdpc {c |}{col 43}{res}{space 2}-.0146325{col 55}{space 2} .0880041{col 66}{space 1}   -0.17{col 75}{space 3}0.868{col 83}{space 4}-.1888745{col 96}{space 3} .1596096
{txt}{space 25}l_ln_milperratio {c |}{col 43}{res}{space 2}  .341989{col 55}{space 2} .1028601{col 66}{space 1}    3.32{col 75}{space 3}0.001{col 83}{space 4} .1383331{col 96}{space 3} .5456448
{txt}{space 27}1.l_marxinsurg {c |}{col 43}{res}{space 2}-.1755613{col 55}{space 2} .1891598{col 66}{space 1}   -0.93{col 75}{space 3}0.355{col 83}{space 4}-.5500846{col 96}{space 3} .1989619
{txt}{space 19}l_v2exl_legitideolcr_1 {c |}{col 43}{res}{space 2}-.5193894{col 55}{space 2} .2247074{col 66}{space 1}   -2.31{col 75}{space 3}0.023{col 83}{space 4}-.9642943{col 96}{space 3}-.0744845
{txt}{space 32}l_hr_mean {c |}{col 43}{res}{space 2}-.0235232{col 55}{space 2} .0453514{col 66}{space 1}   -0.52{col 75}{space 3}0.605{col 83}{space 4}-.1133159{col 96}{space 3} .0662694
{txt}{space 30}1.region6_1 {c |}{col 43}{res}{space 2} -.183293{col 55}{space 2} .2953555{col 66}{space 1}   -0.62{col 75}{space 3}0.536{col 83}{space 4}-.7680764{col 96}{space 3} .4014904
{txt}{space 30}1.region6_2 {c |}{col 43}{res}{space 2}-.4021644{col 55}{space 2} .2287176{col 66}{space 1}   -1.76{col 75}{space 3}0.081{col 83}{space 4}-.8550094{col 96}{space 3} .0506806
{txt}{space 30}1.region6_3 {c |}{col 43}{res}{space 2}-.2440812{col 55}{space 2} .2169262{col 66}{space 1}   -1.13{col 75}{space 3}0.263{col 83}{space 4}  -.67358{col 96}{space 3} .1854177
{txt}{space 30}1.region6_4 {c |}{col 43}{res}{space 2}-.0657633{col 55}{space 2} .2232089{col 66}{space 1}   -0.29{col 75}{space 3}0.769{col 83}{space 4}-.5077014{col 96}{space 3} .3761748
{txt}{space 30}1.region6_5 {c |}{col 43}{res}{space 2}-.2417722{col 55}{space 2} .3157141{col 66}{space 1}   -0.77{col 75}{space 3}0.445{col 83}{space 4} -.866864{col 96}{space 3} .3833197
{txt}{space 36}_cons {c |}{col 43}{res}{space 2} .2866522{col 55}{space 2} .6275225{col 66}{space 1}    0.46{col 75}{space 3}0.649{col 83}{space 4}-.9557986{col 96}{space 3} 1.529103
{txt}{hline 42}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                                 //Empirical range
>         sum democ_years if e(sample)==1 ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}democ_years {c |}{res}      1,607     .260112    .5187957          0        1.9
{txt}
{com}.                 //Calculating effects
>         margins, at((asobserved) _all democ_years = (0(0.1)1.9))                         
>                          level(95) 
>                          post;
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:democ_years}{space 5}{txt:=} {space 8}1.9}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2056744{col 26}{space 2} .0503766{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .1059322{col 67}{space 3} .3054167
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4828577{col 26}{space 2} .0915076{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .3016791{col 67}{space 3} .6640364
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .7066257{col 26}{space 2} .1544354{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .4008544{col 67}{space 3} 1.012397
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8816331{col 26}{space 2} .2020898{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .4815094{col 67}{space 3} 1.281757
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.012534{col 26}{space 2}  .233687{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .5498503{col 67}{space 3} 1.475218
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.103984{col 26}{space 2} .2509418{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .6071364{col 67}{space 3} 1.600831
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.160636{col 26}{space 2} .2560194{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .6537354{col 67}{space 3} 1.667537
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 1.187146{col 26}{space 2} .2512351{col 37}{space 1}    4.73{col 46}{space 3}0.000{col 54}{space 4}  .689718{col 67}{space 3} 1.684574
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.188168{col 26}{space 2} .2389813{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .7150014{col 67}{space 3} 1.661334
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.168356{col 26}{space 2} .2216991{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} .7294075{col 67}{space 3} 1.607305
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.132366{col 26}{space 2} .2018382{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4} .7327399{col 67}{space 3} 1.531991
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.084851{col 26}{space 2} .1817654{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} .7249678{col 67}{space 3} 1.444733
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.030466{col 26}{space 2} .1635623{col 37}{space 1}    6.30{col 46}{space 3}0.000{col 54}{space 4} .7066239{col 67}{space 3} 1.354308
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .9738657{col 26}{space 2} .1486938{col 37}{space 1}    6.55{col 46}{space 3}0.000{col 54}{space 4} .6794624{col 67}{space 3} 1.268269
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .9197048{col 26}{space 2} .1376862{col 37}{space 1}    6.68{col 46}{space 3}0.000{col 54}{space 4} .6470956{col 67}{space 3} 1.192314
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .8726376{col 26}{space 2} .1302142{col 37}{space 1}    6.70{col 46}{space 3}0.000{col 54}{space 4} .6148225{col 67}{space 3} 1.130453
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .8373188{col 26}{space 2} .1260029{col 37}{space 1}    6.65{col 46}{space 3}0.000{col 54}{space 4} .5878418{col 67}{space 3} 1.086796
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .8184028{col 26}{space 2} .1265222{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .5678977{col 67}{space 3} 1.068908
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .8205442{col 26}{space 2} .1365983{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .5500891{col 67}{space 3} 1.090999
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .8483975{col 26}{space 2} .1636285{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .5244244{col 67}{space 3} 1.172371
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         parmest, saving("$path\data_figure_SM_2_1.dta", replace) format(estimate min95 max95) idstr("democ_years");
{txt}file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\data_figure_SM_2_1.dta saved

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Loading data
.         use "$path\data_figure_SM_2_1.dta", clear       
{txt}
{com}.         
.         *Generating x-axis
.         gen democ_years=(_n-1)
{txt}
{com}.                 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (rspike min95 max95 democ_years, lcolor(black) lwidth(*1))
>                    (connected estimate democ_years, mcolor(black) msize(*.8) lwidth(*1.25) lcolor(black) )      
>                         ,
>                         ysize(1)
>                         xsize(1.2)                      
>                         yscale(range(0 2) noextend titlegap(*+5))
>                         xscale(range(0 19) noextend titlegap(*+7))
>                         ylabel(0(.5)2, angle(horizontal) nogrid labgap(+1.5))
>                         xlabel(0(1)19)
>                         ytitle("Predicted number of participants")
>                         xtitle("Age of democracy")
>                         graphregion(color(white) lcolor(white) lalign(outside))                         
>                         legend(off)
>                    ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SM_2_1.pdf", replace as(pdf)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_SM_2_1.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure SM.3.1. Seminar attendance across regimes
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping years in sample
.         keep if sample==1
{txt}(153 observations deleted)

{com}.         
.         *Collapsing data
.         collapse (sum) allstuds, by(democ)
{txt}
{com}.                         
.         *Calculating shares
.         egen total=total(allstuds)
{txt}
{com}.         gen share=(allstuds/total)*100
{txt}
{com}.         list 
{txt}
     {c TLC}{hline 7}{c -}{hline 10}{c -}{hline 7}{c -}{hline 10}{c TRC}
     {c |} {res}democ   allstuds   total      share {txt}{c |}
     {c LT}{hline 7}{c -}{hline 10}{c -}{hline 7}{c -}{hline 10}{c RT}
  1. {c |} {res}    0        258     681   37.88546 {txt}{c |}
  2. {c |} {res}    1        423     681   62.11454 {txt}{c |}
     {c BLC}{hline 7}{c -}{hline 10}{c -}{hline 7}{c -}{hline 10}{c BRC}

{com}.         
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline allstuds democ if democ==1, vertical mcolor(black) lcolor(black) lwidth(*0.5) msize(*1))
>                    (dropline allstuds democ if democ==0, vertical mcolor(black) mfcolor(white) lcolor(black) lwidth(*0.5) msize(*1.1))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 180) noextend titlegap(*+5))
>                         xscale(range(-.35 1.35) noextend titlegap(*+7))
>                         ylabel(0(100)400, valuelabel angle(horizontal) nogrid labsize(*1))
>                         xlabel(0 "Autocracy" 1 "Democracy", labsize(*1))
>                         ytitle("Number of participants")
>                         xtitle("")
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))
>                         legend(off)
>                         ;
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         graph export "$path\figure_SM_3_1.pdf", replace as(pdf)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_SM_3_1.pdf written in PDF format)

{com}.                 
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Figure SM.3.2. Seminar attendance from Communist Bloc
.         ****************************************************************************
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Keeping years in sample
.         keep if sample==1       
{txt}(153 observations deleted)

{com}.         
.         *Generating variable in Communist Bloc
.         gen communist_bloc=.
{txt}(2,541 missing values generated)

{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         replace communist_bloc=1 if 
>                         country_name=="Russia"          |
>                         country_name=="Albania"         |
>                         country_name=="Bulgaria"        |
>                         country_name=="Czech Republic"  |
>                         country_name=="German Democratic Republic" |
>                         country_name=="Hungary"         |
>                         country_name=="Poland"          |                       
>                         country_name=="Romania"         |
>                         country_name=="Yugoslavia"              
>         ;
{txt}(153 real changes made)

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Generating variables on student number from communist regimes
.         gen communist_bloc_studs=allstuds if communist_bloc==1  //Warsaw Pact
{txt}(2,388 missing values generated)

{com}.         gen communist_regi_studs=allstuds if comreg==1                  //Communist regimes
{txt}(2,310 missing values generated)

{com}.         
.         *Collapsing data
.         collapse (sum) communist_bloc_studs     communist_regi_studs allstuds
{txt}
{com}.         
.         *Calculating shares
.         foreach var of varlist communist_bloc_studs communist_regi_studs {c -(}
{txt}  2{com}.                 gen share_`var'=(`var'/allstuds)*100
{txt}  3{com}.         {c )-}
{txt}
{com}.         
.         *Reshaping data
.         gen help=1
{txt}
{com}.         reshape long share@, i(help) j() string 
{txt}(note: j = _communist_bloc_studs _communist_regi_studs)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}       1   {txt}->{res}       2
{txt}Number of variables            {res}       6   {txt}->{res}       6
{txt}j variable (2 values)                     ->   {res}_j
{txt}xij variables:
{res}share_communist_bloc_studs share_communist_regi_studs{txt}->{res}share
{txt}{hline 77}

{com}.         rename _j var
{res}{txt}
{com}.         
.         *Keeping relevant variables
.         keep share var
{txt}
{com}.         
.         *Generating x-axis
.         gen xaxis=_n
{txt}
{com}. 
.         *Graph
.         #delimit ;
{txt}delimiter now ;
{com}.         twoway (dropline share xaxis, vertical mcolor(black) lcolor(black) lwidth(*0.5) msize(*1))
>                    ,
>                         ysize(1)
>                         xsize(1)                        
>                         yscale(range(0 8) noextend titlegap(*+5))
>                         xscale(range(0.5 2.5) noextend titlegap(*+7))
>                         ylabel(0(2)8, valuelabel angle(horizontal) nogrid labsize(*1))
>                         xlabel(1 `" "Warsaw" "Pact" "'  2 `" "Communist" "Regimes" "', labsize(*1))
>                         ytitle("Percentage of participants")
>                         xtitle("")
>                         graphregion(color(white) lcolor(white) lalign(outside) margin(l=15 r=15))
>                         legend(off)
>                         ;
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         graph export "$path\figure_SM_3_2.pdf", replace as(pdf)
{txt}(file C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\figure_SM_3_2.pdf written in PDF format)

{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.                 
.         
.         
. ********************************************************************************
. *
. * Tables in manuscript
. *
. ********************************************************************************
.         
.         ****************************************************************************
.         *Table 1. Linear regression for attendance of Harvard International Seminar
.         ****************************************************************************    
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(1, 147)         =  {res}    12.67
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1666
                                                {txt}Root MSE          =    {res} .66353

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.294602{col 26}{space 2} .3636331{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .5759784{col 67}{space 3} 2.013226
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0116818{col 26}{space 2} .0487928{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.1081077{col 67}{space 3} .0847442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(7, 120)         =  {res}     5.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3967
                                                {txt}Root MSE          =    {res} .65725

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  1.70733{col 36}{space 2} .3687434{col 47}{space 1}    4.63{col 56}{space 3}0.000{col 64}{space 4} .9772436{col 77}{space 3} 2.437416
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0038772{col 36}{space 2} .0234305{col 47}{space 1}    0.17{col 56}{space 3}0.869{col 64}{space 4}-.0425136{col 77}{space 3}  .050268
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1813436{col 36}{space 2} .0845478{col 47}{space 1}   -2.14{col 56}{space 3}0.034{col 64}{space 4}-.3487424{col 77}{space 3}-.0139448
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3675118{col 36}{space 2} .0837462{col 47}{space 1}    4.39{col 56}{space 3}0.000{col 64}{space 4} .2017002{col 77}{space 3} .5333234
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} -.233853{col 36}{space 2} .1206841{col 47}{space 1}   -1.94{col 56}{space 3}0.055{col 64}{space 4}-.4727992{col 77}{space 3} .0050932
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4153046{col 36}{space 2} .1538975{col 47}{space 1}   -2.70{col 56}{space 3}0.008{col 64}{space 4}-.7200108{col 77}{space 3}-.1105983
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0349117{col 36}{space 2} .0499518{col 47}{space 1}   -0.70{col 56}{space 3}0.486{col 64}{space 4}-.1338127{col 77}{space 3} .0639893
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.072423{col 36}{space 2} .5985693{col 47}{space 1}    1.79{col 56}{space 3}0.076{col 64}{space 4} -.112702{col 77}{space 3} 2.257549
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                                     
{txt}delimiter now cr
{com}. 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(12, 120)        =  {res}     4.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4088
                                                {txt}Root MSE          =    {res}  .6516

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.722838{col 36}{space 2} .4105207{col 47}{space 1}    4.20{col 56}{space 3}0.000{col 64}{space 4} .9100353{col 77}{space 3}  2.53564
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0043191{col 36}{space 2} .0252627{col 47}{space 1}   -0.17{col 56}{space 3}0.865{col 64}{space 4}-.0543374{col 77}{space 3} .0456992
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0741849{col 36}{space 2} .0804074{col 47}{space 1}   -0.92{col 56}{space 3}0.358{col 64}{space 4}-.2333859{col 77}{space 3}  .085016
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3438659{col 36}{space 2} .1013906{col 47}{space 1}    3.39{col 56}{space 3}0.001{col 64}{space 4} .1431195{col 77}{space 3} .5446123
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2816846{col 36}{space 2} .1725364{col 47}{space 1}   -1.63{col 56}{space 3}0.105{col 64}{space 4}-.6232946{col 77}{space 3} .0599253
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4988972{col 36}{space 2} .2160297{col 47}{space 1}   -2.31{col 56}{space 3}0.023{col 64}{space 4} -.926621{col 77}{space 3}-.0711735
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0461255{col 36}{space 2}  .049406{col 47}{space 1}   -0.93{col 56}{space 3}0.352{col 64}{space 4} -.143946{col 77}{space 3}  .051695
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0681361{col 36}{space 2}   .28252{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4} -.627506{col 77}{space 3} .4912339
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3412167{col 36}{space 2} .2010577{col 47}{space 1}   -1.70{col 56}{space 3}0.092{col 64}{space 4} -.739297{col 77}{space 3} .0568637
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1972616{col 36}{space 2} .1924528{col 47}{space 1}   -1.02{col 56}{space 3}0.307{col 64}{space 4}-.5783047{col 77}{space 3} .1837815
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0890521{col 36}{space 2} .2014043{col 47}{space 1}   -0.44{col 56}{space 3}0.659{col 64}{space 4}-.4878185{col 77}{space 3} .3097144
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3210685{col 36}{space 2} .3087863{col 47}{space 1}   -1.04{col 56}{space 3}0.301{col 64}{space 4}-.9324439{col 77}{space 3} .2903068
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4811312{col 36}{space 2} .5896908{col 47}{space 1}    0.82{col 56}{space 3}0.416{col 64}{space 4}-.6864157{col 77}{space 3} 1.648678
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         
.         
. ********************************************************************************
. *
. * Tables in online appendix
. *
. ********************************************************************************        
.         
.         ****************************************************************************
.         *Table SM.1.1. Summary statistics
.         ****************************************************************************            
.         
.         #delimit ;
{txt}delimiter now ;
{com}.         estpost sum 
>                 allstuds
>                 ln_allstuds             
>                 bin_allstuds            
>                 
>                 l_v2x_libdem
>                 l_v2x_polyarchy
>                 l_v2x_partipdem
>                 l_v2x_delibdem
>                 
>                 l_autoc_close
>                 l_autoc_elect 
>                 l_democ_elect 
>                 l_democ_liber   
>         
>                 l_regdiff_libdem
>         
>                 democ_years
>                 democ_years2
>                 democ_years3    
>         
>                 l_v2clacfree 
>                 l_v2mecenefm
>                 l_v2clrspct             
>                 l_ln_v2canuni    
>                 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 
>                 l_us_influence
>                 l_rus_influence                 
>                 l_us_fpsim_inv
>                 l_diff_us_fpsim_inv
>                 l_c_totdyadtraperc                      
>                 l_ln_pop
>                 l_us_totdyadtraperc     
>                 l_communistcso          
>                 l_comneighb_mean_vdem   
>                 ln_disttous
>                 
>                 l_noncomreg
>                 l_leader_right
>                 l_leader_centrist
>                 
>                 if sample==1
>                 ;

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:allstuds}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .2680047}}}{space 1}{space 1}{ralign 9:{res:{sf: .5214523}}}{space 1}{space 1}{ralign 9:{res:{sf: .7221165}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        5}}}{space 1}{space 1}{ralign 9:{res:{sf:      681}}}{space 1}
{space 0}{space 0}{ralign 12:ln_allstuds}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .1498965}}}{space 1}{space 1}{ralign 9:{res:{sf: .1305286}}}{space 1}{space 1}{ralign 9:{res:{sf: .3612874}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.791759}}}{space 1}{space 1}{ralign 9:{res:{sf:  380.887}}}{space 1}
{space 0}{space 0}{ralign 12:bin_allstuds}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .1648957}}}{space 1}{space 1}{ralign 9:{res:{sf: .1377593}}}{space 1}{space 1}{ralign 9:{res:{sf: .3711594}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      419}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2x_libdem}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2504}}}{space 1}{space 1}{ralign 9:{res:{sf:     2504}}}{space 1}{space 1}{ralign 9:{res:{sf: .2190994}}}{space 1}{space 1}{ralign 9:{res:{sf: .0524953}}}{space 1}{space 1}{ralign 9:{res:{sf: .2291186}}}{space 1}{space 1}{ralign 9:{res:{sf:     .011}}}{space 1}{space 1}{ralign 9:{res:{sf:     .872}}}{space 1}{space 1}{ralign 9:{res:{sf:  548.625}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2x_poly~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .2798378}}}{space 1}{space 1}{ralign 9:{res:{sf: .0633527}}}{space 1}{space 1}{ralign 9:{res:{sf: .2516996}}}{space 1}{space 1}{ralign 9:{res:{sf:     .007}}}{space 1}{space 1}{ralign 9:{res:{sf:     .901}}}{space 1}{space 1}{ralign 9:{res:{sf:  710.788}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2x_part~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2523}}}{space 1}{space 1}{ralign 9:{res:{sf:     2523}}}{space 1}{space 1}{ralign 9:{res:{sf: .1587408}}}{space 1}{space 1}{ralign 9:{res:{sf: .0322297}}}{space 1}{space 1}{ralign 9:{res:{sf: .1795264}}}{space 1}{space 1}{ralign 9:{res:{sf:     .007}}}{space 1}{space 1}{ralign 9:{res:{sf:     .724}}}{space 1}{space 1}{ralign 9:{res:{sf:  400.503}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2x_deli~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .1972854}}}{space 1}{space 1}{ralign 9:{res:{sf: .0499619}}}{space 1}{space 1}{ralign 9:{res:{sf: .2235216}}}{space 1}{space 1}{ralign 9:{res:{sf:     .004}}}{space 1}{space 1}{ralign 9:{res:{sf:     .845}}}{space 1}{space 1}{ralign 9:{res:{sf:  501.105}}}{space 1}
{space 0}{space 0}{ralign 12:l_autoc_cl~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .5472441}}}{space 1}{space 1}{ralign 9:{res:{sf: .2478656}}}{space 1}{space 1}{ralign 9:{res:{sf:  .497861}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1390}}}{space 1}
{space 0}{space 0}{ralign 12:l_autoc_el~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .2625984}}}{space 1}{space 1}{ralign 9:{res:{sf: .1937168}}}{space 1}{space 1}{ralign 9:{res:{sf: .4401327}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      667}}}{space 1}
{space 0}{space 0}{ralign 12:l_democ_el~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .0779528}}}{space 1}{space 1}{ralign 9:{res:{sf: .0719044}}}{space 1}{space 1}{ralign 9:{res:{sf:   .26815}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      198}}}{space 1}
{space 0}{space 0}{ralign 12:l_democ_li~r}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .1122047}}}{space 1}{space 1}{ralign 9:{res:{sf: .0996541}}}{space 1}{space 1}{ralign 9:{res:{sf: .3156803}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      285}}}{space 1}
{space 0}{space 0}{ralign 12:l_regdiff_~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2504}}}{space 1}{space 1}{ralign 9:{res:{sf:     2504}}}{space 1}{space 1}{ralign 9:{res:{sf:-.3371462}}}{space 1}{space 1}{ralign 9:{res:{sf: .0527452}}}{space 1}{space 1}{ralign 9:{res:{sf: .2296631}}}{space 1}{space 1}{ralign 9:{res:{sf:    -.607}}}{space 1}{space 1}{ralign 9:{res:{sf:     .346}}}{space 1}{space 1}{ralign 9:{res:{sf: -844.214}}}{space 1}
{space 0}{space 0}{ralign 12:democ_years}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .1940575}}}{space 1}{space 1}{ralign 9:{res:{sf: .2083938}}}{space 1}{space 1}{ralign 9:{res:{sf: .4565017}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:      1.9}}}{space 1}{space 1}{ralign 9:{res:{sf:    493.1}}}{space 1}
{space 0}{space 0}{ralign 12:democ_years2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .2459701}}}{space 1}{space 1}{ralign 9:{res:{sf: .4820792}}}{space 1}{space 1}{ralign 9:{res:{sf: .6943192}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:     3.61}}}{space 1}{space 1}{ralign 9:{res:{sf:   625.01}}}{space 1}
{space 0}{space 0}{ralign 12:democ_years3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: .3526183}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.321318}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.149486}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:    6.859}}}{space 1}{space 1}{ralign 9:{res:{sf:  896.003}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2clacfree}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:-.2993161}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.057602}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.434435}}}{space 1}{space 1}{ralign 9:{res:{sf:   -3.427}}}{space 1}{space 1}{ralign 9:{res:{sf:    3.525}}}{space 1}{space 1}{ralign 9:{res:{sf: -760.263}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2mecenefm}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:-.3820476}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.380673}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.542943}}}{space 1}{space 1}{ralign 9:{res:{sf:   -3.135}}}{space 1}{space 1}{ralign 9:{res:{sf:    3.383}}}{space 1}{space 1}{ralign 9:{res:{sf: -970.401}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2clrspct}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .0791004}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.140665}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.463101}}}{space 1}{space 1}{ralign 9:{res:{sf:   -3.254}}}{space 1}{space 1}{ralign 9:{res:{sf:    4.006}}}{space 1}{space 1}{ralign 9:{res:{sf:  200.915}}}{space 1}
{space 0}{space 0}{ralign 12:l_ln_v2can~i}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2387}}}{space 1}{space 1}{ralign 9:{res:{sf:     2387}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.578053}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.279803}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.509902}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.244167}}}{space 1}{space 1}{ralign 9:{res:{sf: 3766.813}}}{space 1}
{space 0}{space 0}{ralign 12:l_ln_fuelpc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1788}}}{space 1}{space 1}{ralign 9:{res:{sf:     1788}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.118827}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.841471}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.416914}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 10.44619}}}{space 1}{space 1}{ralign 9:{res:{sf: 3788.462}}}{space 1}
{space 0}{space 0}{ralign 12:l_ln_rgdpc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.866956}}}{space 1}{space 1}{ralign 9:{res:{sf: .7735394}}}{space 1}{space 1}{ralign 9:{res:{sf: .8795109}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.717028}}}{space 1}{space 1}{ralign 9:{res:{sf:  10.2097}}}{space 1}{space 1}{ralign 9:{res:{sf: 13767.17}}}{space 1}
{space 0}{space 0}{ralign 12:l_ln_milpe~o}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1688}}}{space 1}{space 1}{ralign 9:{res:{sf:     1688}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.142416}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.179818}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.086194}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.291368}}}{space 1}{space 1}{ralign 9:{res:{sf: 1928.398}}}{space 1}
{space 0}{space 0}{ralign 12:l_marxinsurg}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf:     2540}}}{space 1}{space 1}{ralign 9:{res:{sf: .0153543}}}{space 1}{space 1}{ralign 9:{res:{sf: .0151245}}}{space 1}{space 1}{ralign 9:{res:{sf: .1229818}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       39}}}{space 1}
{space 0}{space 0}{ralign 12:l_v2exl_le~1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2472}}}{space 1}{space 1}{ralign 9:{res:{sf:     2472}}}{space 1}{space 1}{ralign 9:{res:{sf: .2484725}}}{space 1}{space 1}{ralign 9:{res:{sf:  .104564}}}{space 1}{space 1}{ralign 9:{res:{sf: .3233636}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:  614.224}}}{space 1}
{space 0}{space 0}{ralign 12:l_hr_mean}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1745}}}{space 1}{space 1}{ralign 9:{res:{sf:     1745}}}{space 1}{space 1}{ralign 9:{res:{sf:-.1606761}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.49641}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.223278}}}{space 1}{space 1}{ralign 9:{res:{sf:-2.915361}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.715645}}}{space 1}{space 1}{ralign 9:{res:{sf:-280.3797}}}{space 1}
{space 0}{space 0}{ralign 12:l_us_influ~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1721}}}{space 1}{space 1}{ralign 9:{res:{sf:     1721}}}{space 1}{space 1}{ralign 9:{res:{sf: .2330041}}}{space 1}{space 1}{ralign 9:{res:{sf: .1788171}}}{space 1}{space 1}{ralign 9:{res:{sf: .4228677}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      401}}}{space 1}
{space 0}{space 0}{ralign 12:l_rus_infl~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1721}}}{space 1}{space 1}{ralign 9:{res:{sf:     1721}}}{space 1}{space 1}{ralign 9:{res:{sf: .0987798}}}{space 1}{space 1}{ralign 9:{res:{sf: .0890741}}}{space 1}{space 1}{ralign 9:{res:{sf: .2984528}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      170}}}{space 1}
{space 0}{space 0}{ralign 12:l_us_fpsim~v}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1371}}}{space 1}{space 1}{ralign 9:{res:{sf:     1371}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.174319}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.36295}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.167455}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.793106}}}{space 1}{space 1}{ralign 9:{res:{sf: 4351.992}}}{space 1}
{space 0}{space 0}{ralign 12:l_diff_us_~v}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1261}}}{space 1}{space 1}{ralign 9:{res:{sf:     1261}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0323653}}}{space 1}{space 1}{ralign 9:{res:{sf: .2152077}}}{space 1}{space 1}{ralign 9:{res:{sf: .4639048}}}{space 1}{space 1}{ralign 9:{res:{sf: -1.68314}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.665574}}}{space 1}{space 1}{ralign 9:{res:{sf:-40.81266}}}{space 1}
{space 0}{space 0}{ralign 12:l_c_totdya~c}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1748}}}{space 1}{space 1}{ralign 9:{res:{sf:     1748}}}{space 1}{space 1}{ralign 9:{res:{sf:  18.1771}}}{space 1}{space 1}{ralign 9:{res:{sf:   385.74}}}{space 1}{space 1}{ralign 9:{res:{sf: 19.64026}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 89.52874}}}{space 1}{space 1}{ralign 9:{res:{sf: 31773.58}}}{space 1}
{space 0}{space 0}{ralign 12:l_ln_pop}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.898735}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.160232}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.469773}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.990433}}}{space 1}{space 1}{ralign 9:{res:{sf: 13.53388}}}{space 1}{space 1}{ralign 9:{res:{sf: 15572.79}}}{space 1}
{space 0}{space 0}{ralign 12:l_us_totdy~c}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf:     1750}}}{space 1}{space 1}{ralign 9:{res:{sf: .9714122}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.427549}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.535261}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 25.38475}}}{space 1}{space 1}{ralign 9:{res:{sf: 1699.971}}}{space 1}
{space 0}{space 0}{ralign 12:l_communis~o}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2535}}}{space 1}{space 1}{ralign 9:{res:{sf:     2535}}}{space 1}{space 1}{ralign 9:{res:{sf:-.0720611}}}{space 1}{space 1}{ralign 9:{res:{sf: .4253133}}}{space 1}{space 1}{ralign 9:{res:{sf: .6521605}}}{space 1}{space 1}{ralign 9:{res:{sf:   -2.705}}}{space 1}{space 1}{ralign 9:{res:{sf:     3.08}}}{space 1}{space 1}{ralign 9:{res:{sf:-182.6749}}}{space 1}
{space 0}{space 0}{ralign 12:l_comneigh~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2489}}}{space 1}{space 1}{ralign 9:{res:{sf:     2489}}}{space 1}{space 1}{ralign 9:{res:{sf: .2829648}}}{space 1}{space 1}{ralign 9:{res:{sf:  .051332}}}{space 1}{space 1}{ralign 9:{res:{sf: .2265656}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 704.2995}}}{space 1}
{space 0}{space 0}{ralign 12:ln_disttous}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf:     2541}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.011302}}}{space 1}{space 1}{ralign 9:{res:{sf: .2597604}}}{space 1}{space 1}{ralign 9:{res:{sf:  .509667}}}{space 1}{space 1}{ralign 9:{res:{sf:  6.59578}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.701249}}}{space 1}{space 1}{ralign 9:{res:{sf: 22897.72}}}{space 1}
{space 0}{space 0}{ralign 12:l_noncomreg}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2472}}}{space 1}{space 1}{ralign 9:{res:{sf:     2472}}}{space 1}{space 1}{ralign 9:{res:{sf: .9089806}}}{space 1}{space 1}{ralign 9:{res:{sf: .0827684}}}{space 1}{space 1}{ralign 9:{res:{sf: .2876949}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2247}}}{space 1}
{space 0}{space 0}{ralign 12:l_leader_r~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1691}}}{space 1}{space 1}{ralign 9:{res:{sf:     1691}}}{space 1}{space 1}{ralign 9:{res:{sf: .4949734}}}{space 1}{space 1}{ralign 9:{res:{sf: .2501226}}}{space 1}{space 1}{ralign 9:{res:{sf: .5001226}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      837}}}{space 1}
{space 0}{space 0}{ralign 12:l_leader_c~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1691}}}{space 1}{space 1}{ralign 9:{res:{sf:     1691}}}{space 1}{space 1}{ralign 9:{res:{sf: .0881135}}}{space 1}{space 1}{ralign 9:{res:{sf: .0803971}}}{space 1}{space 1}{ralign 9:{res:{sf: .2835438}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      149}}}{space 1}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.2.1. Count measure of attendance
.         ****************************************************************************    
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_allstuds 
>                 l_v2x_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(1, 147)         =  {res}    16.02
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.1659
                                                {txt}Root MSE          =    {res} .33204

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} ln_allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} .6461215{col 26}{space 2} .1614421{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .3270743{col 67}{space 3} .9651687
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0105466{col 26}{space 2} .0245128{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-.0378965{col 67}{space 3} .0589897
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(7, 120)         =  {res}     7.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3930
                                                {txt}Root MSE          =    {res} .32957

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}           ln_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} .8295528{col 36}{space 2} .1625247{col 47}{space 1}    5.10{col 56}{space 3}0.000{col 64}{space 4} .5077652{col 77}{space 3}  1.15134
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0013504{col 36}{space 2} .0112463{col 47}{space 1}   -0.12{col 56}{space 3}0.905{col 64}{space 4}-.0236173{col 77}{space 3} .0209165
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0791878{col 36}{space 2} .0396226{col 47}{space 1}   -2.00{col 56}{space 3}0.048{col 64}{space 4}-.1576378{col 77}{space 3}-.0007378
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1865684{col 36}{space 2} .0399129{col 47}{space 1}    4.67{col 56}{space 3}0.000{col 64}{space 4} .1075436{col 77}{space 3} .2655931
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1185334{col 36}{space 2} .0619018{col 47}{space 1}   -1.91{col 56}{space 3}0.058{col 64}{space 4}-.2410947{col 77}{space 3}  .004028
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2} -.195303{col 36}{space 2} .0746571{col 47}{space 1}   -2.62{col 56}{space 3}0.010{col 64}{space 4} -.343119{col 77}{space 3}-.0474871
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0193718{col 36}{space 2} .0245867{col 47}{space 1}   -0.79{col 56}{space 3}0.432{col 64}{space 4}-.0680518{col 77}{space 3} .0293082
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4759535{col 36}{space 2} .2846183{col 47}{space 1}    1.67{col 56}{space 3}0.097{col 64}{space 4}-.0875709{col 77}{space 3} 1.039478
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(12, 120)        =  {res}     6.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4107
                                                {txt}Root MSE          =    {res} .32522

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}           ln_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} .8213903{col 36}{space 2} .1817947{col 47}{space 1}    4.52{col 56}{space 3}0.000{col 64}{space 4} .4614495{col 77}{space 3} 1.181331
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0057941{col 36}{space 2} .0121916{col 47}{space 1}   -0.48{col 56}{space 3}0.635{col 64}{space 4}-.0299326{col 77}{space 3} .0183445
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0196245{col 36}{space 2} .0378655{col 47}{space 1}   -0.52{col 56}{space 3}0.605{col 64}{space 4}-.0945956{col 77}{space 3} .0553466
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .168256{col 36}{space 2} .0476316{col 47}{space 1}    3.53{col 56}{space 3}0.001{col 64}{space 4} .0739487{col 77}{space 3} .2625633
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1564379{col 36}{space 2} .0912472{col 47}{space 1}   -1.71{col 56}{space 3}0.089{col 64}{space 4}-.3371011{col 77}{space 3} .0242253
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.2322878{col 36}{space 2} .1079901{col 47}{space 1}   -2.15{col 56}{space 3}0.033{col 64}{space 4}-.4461007{col 77}{space 3}-.0184748
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0252826{col 36}{space 2} .0240761{col 47}{space 1}   -1.05{col 56}{space 3}0.296{col 64}{space 4}-.0729515{col 77}{space 3} .0223864
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0633255{col 36}{space 2} .1476488{col 47}{space 1}   -0.43{col 56}{space 3}0.669{col 64}{space 4}  -.35566{col 77}{space 3} .2290089
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2154351{col 36}{space 2} .0952503{col 47}{space 1}   -2.26{col 56}{space 3}0.026{col 64}{space 4} -.404024{col 77}{space 3}-.0268462
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.0990004{col 36}{space 2} .0947675{col 47}{space 1}   -1.04{col 56}{space 3}0.298{col 64}{space 4}-.2866334{col 77}{space 3} .0886326
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0798752{col 36}{space 2} .0982487{col 47}{space 1}   -0.81{col 56}{space 3}0.418{col 64}{space 4}-.2744008{col 77}{space 3} .1146505
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.1794894{col 36}{space 2} .1328683{col 47}{space 1}   -1.35{col 56}{space 3}0.179{col 64}{space 4}-.4425595{col 77}{space 3} .0835806
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .1667516{col 36}{space 2} .2849067{col 47}{space 1}    0.59{col 56}{space 3}0.559{col 64}{space 4}-.3973437{col 77}{space 3}  .730847
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         poisson allstuds 
>                 l_v2x_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1507.4211}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1502.1291}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1502.1212}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1502.1212}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     2,504
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     41.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1502.1212{txt}{col 49}Pseudo R2{col 67}= {res}    0.1683

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 3.317932{col 26}{space 2} .5173145{col 37}{space 1}    6.41{col 46}{space 3}0.000{col 54}{space 4} 2.304014{col 67}{space 3} 4.331849
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -2.41152{col 26}{space 2}  .246312{col 37}{space 1}   -9.79{col 46}{space 3}0.000{col 54}{space 4}-2.894283{col 67}{space 3}-1.928757
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         poisson allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-978.84206}  
Iteration 1:{space 3}log pseudolikelihood = {res: -975.9482}  
Iteration 2:{space 3}log pseudolikelihood = {res:-975.94347}  
Iteration 3:{space 3}log pseudolikelihood = {res:-975.94347}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     1,605
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}    296.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-975.94347{txt}{col 49}Pseudo R2{col 67}= {res}    0.3279

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  4.13101{col 36}{space 2} .5820825{col 47}{space 1}    7.10{col 56}{space 3}0.000{col 64}{space 4} 2.990149{col 77}{space 3} 5.271871
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0228388{col 36}{space 2} .0767471{col 47}{space 1}   -0.30{col 56}{space 3}0.766{col 64}{space 4}-.1732604{col 77}{space 3} .1275829
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.4362039{col 36}{space 2} .1769603{col 47}{space 1}   -2.46{col 56}{space 3}0.014{col 64}{space 4}-.7830398{col 77}{space 3} -.089368
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .664459{col 36}{space 2} .1031026{col 47}{space 1}    6.44{col 56}{space 3}0.000{col 64}{space 4} .4623817{col 77}{space 3} .8665364
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.7941817{col 36}{space 2}  .411872{col 47}{space 1}   -1.93{col 56}{space 3}0.054{col 64}{space 4}-1.601436{col 77}{space 3} .0130725
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.8912956{col 36}{space 2} .3985633{col 47}{space 1}   -2.24{col 56}{space 3}0.025{col 64}{space 4}-1.672465{col 77}{space 3} -.110126
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.3081368{col 36}{space 2} .1458018{col 47}{space 1}   -2.11{col 56}{space 3}0.035{col 64}{space 4} -.593903{col 77}{space 3}-.0223706
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2196257{col 36}{space 2} 1.330275{col 47}{space 1}    0.17{col 56}{space 3}0.869{col 64}{space 4}-2.387666{col 77}{space 3} 2.826917
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         poisson allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-939.02703}  
Iteration 1:{space 3}log pseudolikelihood = {res: -930.9494}  
Iteration 2:{space 3}log pseudolikelihood = {res:-930.94188}  
Iteration 3:{space 3}log pseudolikelihood = {res:-930.94188}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     1,605
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}    330.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-930.94188{txt}{col 49}Pseudo R2{col 67}= {res}    0.3589

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 3.766221{col 36}{space 2} .5448291{col 47}{space 1}    6.91{col 56}{space 3}0.000{col 64}{space 4} 2.698375{col 77}{space 3} 4.834066
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0353559{col 36}{space 2} .0747556{col 47}{space 1}   -0.47{col 56}{space 3}0.636{col 64}{space 4}-.1818742{col 77}{space 3} .1111624
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.2661166{col 36}{space 2} .1906069{col 47}{space 1}   -1.40{col 56}{space 3}0.163{col 64}{space 4}-.6396992{col 77}{space 3} .1074659
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .5112955{col 36}{space 2} .1100082{col 47}{space 1}    4.65{col 56}{space 3}0.000{col 64}{space 4} .2956833{col 77}{space 3} .7269076
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-1.126813{col 36}{space 2} .4289475{col 47}{space 1}   -2.63{col 56}{space 3}0.009{col 64}{space 4}-1.967535{col 77}{space 3}-.2860916
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.9926532{col 36}{space 2} .3726949{col 47}{space 1}   -2.66{col 56}{space 3}0.008{col 64}{space 4}-1.723122{col 77}{space 3}-.2621846
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.3562348{col 36}{space 2} .1310754{col 47}{space 1}   -2.72{col 56}{space 3}0.007{col 64}{space 4}-.6131379{col 77}{space 3}-.0993316
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} -.041989{col 36}{space 2} .7458135{col 47}{space 1}   -0.06{col 56}{space 3}0.955{col 64}{space 4}-1.503757{col 77}{space 3} 1.419779
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-2.050759{col 36}{space 2} .6088421{col 47}{space 1}   -3.37{col 56}{space 3}0.001{col 64}{space 4}-3.244067{col 77}{space 3}  -.85745
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.3159917{col 36}{space 2} .3211067{col 47}{space 1}   -0.98{col 56}{space 3}0.325{col 64}{space 4}-.9453492{col 77}{space 3} .3133658
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -1.25282{col 36}{space 2} .5787285{col 47}{space 1}   -2.16{col 56}{space 3}0.030{col 64}{space 4}-2.387107{col 77}{space 3} -.118533
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3686075{col 36}{space 2} .2699547{col 47}{space 1}   -1.37{col 56}{space 3}0.172{col 64}{space 4}-.8977089{col 77}{space 3}  .160494
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.2732593{col 36}{space 2} 1.424133{col 47}{space 1}   -0.19{col 56}{space 3}0.848{col 64}{space 4}-3.064508{col 77}{space 3}  2.51799
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                     
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.2.2. Different region fixed effects
.         ****************************************************************************            
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 region10_1-region10_9
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(10, 147)        =  {res}     4.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2658
                                                {txt}Root MSE          =    {res} .62391

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2}  1.26117{col 26}{space 2} .4061969{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .4584299{col 67}{space 3}  2.06391
{txt}{space 2}region10_1 {c |}{col 14}{res}{space 2} .5696192{col 26}{space 2} .1605872{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .2522614{col 67}{space 3} .8869769
{txt}{space 2}region10_2 {c |}{col 14}{res}{space 2} .2439726{col 26}{space 2} .1063366{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .0338267{col 67}{space 3} .4541184
{txt}{space 2}region10_3 {c |}{col 14}{res}{space 2} .4578397{col 26}{space 2} .1113085{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4}  .237868{col 67}{space 3} .6778113
{txt}{space 2}region10_4 {c |}{col 14}{res}{space 2} .3442907{col 26}{space 2} .1137852{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4} .1194245{col 67}{space 3} .5691569
{txt}{space 2}region10_5 {c |}{col 14}{res}{space 2} .4869773{col 26}{space 2} .2208652{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0504962{col 67}{space 3} .9234584
{txt}{space 2}region10_6 {c |}{col 14}{res}{space 2} 1.161331{col 26}{space 2} .4269242{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .3176291{col 67}{space 3} 2.005033
{txt}{space 2}region10_7 {c |}{col 14}{res}{space 2} .6201366{col 26}{space 2} .1612643{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .3014407{col 67}{space 3} .9388326
{txt}{space 2}region10_8 {c |}{col 14}{res}{space 2} 1.009131{col 26}{space 2} .3735049{col 37}{space 1}    2.70{col 46}{space 3}0.008{col 54}{space 4} .2709983{col 67}{space 3} 1.747264
{txt}{space 2}region10_9 {c |}{col 14}{res}{space 2}  .217396{col 26}{space 2}  .087987{col 37}{space 1}    2.47{col 46}{space 3}0.015{col 54}{space 4} .0435131{col 67}{space 3} .3912789
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4502673{col 26}{space 2} .1528439{col 37}{space 1}   -2.95{col 46}{space 3}0.004{col 54}{space 4}-.7523226{col 67}{space 3} -.148212
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region10_1-region10_9
>                 if sample==1, vce(cluster cowcode)
>                 ;
{txt}note: region10_9 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(15, 120)        =  {res}     4.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4229
                                                {txt}Root MSE          =    {res} .64442

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.632896{col 36}{space 2} .4397563{col 47}{space 1}    3.71{col 56}{space 3}0.000{col 64}{space 4} .7622086{col 77}{space 3} 2.503582
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0053029{col 36}{space 2} .0245853{col 47}{space 1}   -0.22{col 56}{space 3}0.830{col 64}{space 4}  -.05398{col 77}{space 3} .0433743
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0265414{col 36}{space 2} .0636665{col 47}{space 1}   -0.42{col 56}{space 3}0.678{col 64}{space 4}-.1525967{col 77}{space 3} .0995139
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3722876{col 36}{space 2} .1095577{col 47}{space 1}    3.40{col 56}{space 3}0.001{col 64}{space 4} .1553711{col 77}{space 3} .5892042
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2110351{col 36}{space 2} .1721295{col 47}{space 1}   -1.23{col 56}{space 3}0.223{col 64}{space 4}-.5518395{col 77}{space 3} .1297693
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2} -.449095{col 36}{space 2} .2074903{col 47}{space 1}   -2.16{col 56}{space 3}0.032{col 64}{space 4}-.8599113{col 77}{space 3}-.0382787
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0504768{col 36}{space 2} .0544855{col 47}{space 1}   -0.93{col 56}{space 3}0.356{col 64}{space 4}-.1583542{col 77}{space 3} .0574006
{txt}{space 12}region10_1 {c |}{col 24}{res}{space 2} .1734355{col 36}{space 2} .3266604{col 47}{space 1}    0.53{col 56}{space 3}0.596{col 64}{space 4}-.4733293{col 77}{space 3} .8202003
{txt}{space 12}region10_2 {c |}{col 24}{res}{space 2}-.0017624{col 36}{space 2} .1511275{col 47}{space 1}   -0.01{col 56}{space 3}0.991{col 64}{space 4}-.3009844{col 77}{space 3} .2974595
{txt}{space 12}region10_3 {c |}{col 24}{res}{space 2} .1285346{col 36}{space 2}  .167799{col 47}{space 1}    0.77{col 56}{space 3}0.445{col 64}{space 4}-.2036958{col 77}{space 3} .4607649
{txt}{space 12}region10_4 {c |}{col 24}{res}{space 2} .2913948{col 36}{space 2} .1446729{col 47}{space 1}    2.01{col 56}{space 3}0.046{col 64}{space 4} .0049525{col 77}{space 3}  .577837
{txt}{space 12}region10_5 {c |}{col 24}{res}{space 2}-.0149764{col 36}{space 2} .2114221{col 47}{space 1}   -0.07{col 56}{space 3}0.944{col 64}{space 4}-.4335775{col 77}{space 3} .4036247
{txt}{space 12}region10_6 {c |}{col 24}{res}{space 2} .0399923{col 36}{space 2} .5473819{col 47}{space 1}    0.07{col 56}{space 3}0.942{col 64}{space 4}-1.043786{col 77}{space 3} 1.123771
{txt}{space 12}region10_7 {c |}{col 24}{res}{space 2} .2793813{col 36}{space 2} .2653286{col 47}{space 1}    1.05{col 56}{space 3}0.294{col 64}{space 4}-.2459509{col 77}{space 3} .8047135
{txt}{space 12}region10_8 {c |}{col 24}{res}{space 2} .6925623{col 36}{space 2} .3351345{col 47}{space 1}    2.07{col 56}{space 3}0.041{col 64}{space 4} .0290193{col 77}{space 3} 1.356105
{txt}{space 12}region10_9 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-.2450059{col 36}{space 2} .4887454{col 47}{space 1}   -0.50{col 56}{space 3}0.617{col 64}{space 4}-1.212688{col 77}{space 3}  .722676
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 region19_1-region19_17
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}{help j_robustsingular:F(17, 147) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3137
                                                {txt}Root MSE          =    {res} .60421

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.491918{col 26}{space 2} .4312368{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .6396931{col 67}{space 3} 2.344142
{txt}{space 2}region19_1 {c |}{col 14}{res}{space 2} .5102379{col 26}{space 2} .4045116{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.2891714{col 67}{space 3} 1.309647
{txt}{space 2}region19_2 {c |}{col 14}{res}{space 2}  .016241{col 26}{space 2} .4750874{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.9226425{col 67}{space 3} .9551245
{txt}{space 2}region19_3 {c |}{col 14}{res}{space 2} .6856439{col 26}{space 2} .3118293{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0693964{col 67}{space 3} 1.301891
{txt}{space 2}region19_4 {c |}{col 14}{res}{space 2} .4625987{col 26}{space 2} .1706978{col 37}{space 1}    2.71{col 46}{space 3}0.008{col 54}{space 4}   .12526{col 67}{space 3} .7999373
{txt}{space 2}region19_5 {c |}{col 14}{res}{space 2} .3204642{col 26}{space 2} .1431726{col 37}{space 1}    2.24{col 46}{space 3}0.027{col 54}{space 4} .0375217{col 67}{space 3} .6034066
{txt}{space 2}region19_6 {c |}{col 14}{res}{space 2} .2110016{col 26}{space 2} .1107468{col 37}{space 1}    1.91{col 46}{space 3}0.059{col 54}{space 4}  -.00786{col 67}{space 3} .4298632
{txt}{space 2}region19_7 {c |}{col 14}{res}{space 2} .2372853{col 26}{space 2} .1179662{col 37}{space 1}    2.01{col 46}{space 3}0.046{col 54}{space 4} .0041566{col 67}{space 3}  .470414
{txt}{space 2}region19_8 {c |}{col 14}{res}{space 2} .1890457{col 26}{space 2} .1128615{col 37}{space 1}    1.68{col 46}{space 3}0.096{col 54}{space 4}-.0339951{col 67}{space 3} .4120864
{txt}{space 2}region19_9 {c |}{col 14}{res}{space 2} .1961833{col 26}{space 2}  .112904{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0269413{col 67}{space 3} .4193079
{txt}{space 1}region19_10 {c |}{col 14}{res}{space 2} .2470385{col 26}{space 2}  .106991{col 37}{space 1}    2.31{col 46}{space 3}0.022{col 54}{space 4} .0355993{col 67}{space 3} .4584777
{txt}{space 1}region19_11 {c |}{col 14}{res}{space 2} .8800346{col 26}{space 2} .3508662{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .1866411{col 67}{space 3} 1.573428
{txt}{space 1}region19_12 {c |}{col 14}{res}{space 2} .4704063{col 26}{space 2} .1617109{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .1508278{col 67}{space 3} .7899848
{txt}{space 1}region19_13 {c |}{col 14}{res}{space 2} .8431315{col 26}{space 2} .3249438{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .2009668{col 67}{space 3} 1.485296
{txt}{space 1}region19_14 {c |}{col 14}{res}{space 2}-.2762505{col 26}{space 2} .2208838{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.7127685{col 67}{space 3} .1602675
{txt}{space 1}region19_15 {c |}{col 14}{res}{space 2}-.7032198{col 26}{space 2} .2256975{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-1.149251{col 67}{space 3}-.2571889
{txt}{space 1}region19_16 {c |}{col 14}{res}{space 2} .0939853{col 26}{space 2} .1521684{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4} -.206735{col 67}{space 3} .3947056
{txt}{space 1}region19_17 {c |}{col 14}{res}{space 2} .0065772{col 26}{space 2} .1278141{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.2460134{col 67}{space 3} .2591677
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3372612{col 26}{space 2} .1371459{col 37}{space 1}   -2.46{col 46}{space 3}0.015{col 54}{space 4}-.6082935{col 67}{space 3}-.0662288
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region19_1-region19_17
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}{help j_robustsingular:F(23, 120) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4987
                                                {txt}Root MSE          =    {res} .60231

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.972029{col 36}{space 2} .4986285{col 47}{space 1}    3.95{col 56}{space 3}0.000{col 64}{space 4}  .984779{col 77}{space 3} 2.959278
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0405936{col 36}{space 2} .0246034{col 47}{space 1}    1.65{col 56}{space 3}0.102{col 64}{space 4}-.0081195{col 77}{space 3} .0893066
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0336033{col 36}{space 2} .0644441{col 47}{space 1}   -0.52{col 56}{space 3}0.603{col 64}{space 4}-.1611981{col 77}{space 3} .0939916
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3231587{col 36}{space 2} .0929217{col 47}{space 1}    3.48{col 56}{space 3}0.001{col 64}{space 4} .1391802{col 77}{space 3} .5071373
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2172783{col 36}{space 2}  .155295{col 47}{space 1}   -1.40{col 56}{space 3}0.164{col 64}{space 4}-.5247516{col 77}{space 3} .0901949
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4951656{col 36}{space 2} .1837149{col 47}{space 1}   -2.70{col 56}{space 3}0.008{col 64}{space 4}-.8589084{col 77}{space 3}-.1314229
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0393283{col 36}{space 2} .0515326{col 47}{space 1}   -0.76{col 56}{space 3}0.447{col 64}{space 4}-.1413592{col 77}{space 3} .0627026
{txt}{space 12}region19_1 {c |}{col 24}{res}{space 2}-.1116995{col 36}{space 2} .3884343{col 47}{space 1}   -0.29{col 56}{space 3}0.774{col 64}{space 4}-.8807724{col 77}{space 3} .6573733
{txt}{space 12}region19_2 {c |}{col 24}{res}{space 2}-.2757558{col 36}{space 2} .4154706{col 47}{space 1}   -0.66{col 56}{space 3}0.508{col 64}{space 4}-1.098359{col 77}{space 3} .5468471
{txt}{space 12}region19_3 {c |}{col 24}{res}{space 2} .1822122{col 36}{space 2} .2705576{col 47}{space 1}    0.67{col 56}{space 3}0.502{col 64}{space 4} -.353473{col 77}{space 3} .7178975
{txt}{space 12}region19_4 {c |}{col 24}{res}{space 2}-.1202229{col 36}{space 2} .2896475{col 47}{space 1}   -0.42{col 56}{space 3}0.679{col 64}{space 4}-.6937048{col 77}{space 3} .4532591
{txt}{space 12}region19_5 {c |}{col 24}{res}{space 2} .1214197{col 36}{space 2}  .137392{col 47}{space 1}    0.88{col 56}{space 3}0.379{col 64}{space 4} -.150607{col 77}{space 3} .3934463
{txt}{space 12}region19_6 {c |}{col 24}{res}{space 2} .2726131{col 36}{space 2} .1205262{col 47}{space 1}    2.26{col 56}{space 3}0.026{col 64}{space 4} .0339796{col 77}{space 3} .5112465
{txt}{space 12}region19_7 {c |}{col 24}{res}{space 2} .1179444{col 36}{space 2} .1070199{col 47}{space 1}    1.10{col 56}{space 3}0.273{col 64}{space 4}-.0939475{col 77}{space 3} .3298363
{txt}{space 12}region19_8 {c |}{col 24}{res}{space 2} .1228927{col 36}{space 2} .1297168{col 47}{space 1}    0.95{col 56}{space 3}0.345{col 64}{space 4}-.1339376{col 77}{space 3}  .379723
{txt}{space 12}region19_9 {c |}{col 24}{res}{space 2}-.1210026{col 36}{space 2} .1127096{col 47}{space 1}   -1.07{col 56}{space 3}0.285{col 64}{space 4}-.3441598{col 77}{space 3} .1021545
{txt}{space 11}region19_10 {c |}{col 24}{res}{space 2}-.1420949{col 36}{space 2} .1343243{col 47}{space 1}   -1.06{col 56}{space 3}0.292{col 64}{space 4}-.4080477{col 77}{space 3} .1238578
{txt}{space 11}region19_11 {c |}{col 24}{res}{space 2} .0848506{col 36}{space 2} .3698319{col 47}{space 1}    0.23{col 56}{space 3}0.819{col 64}{space 4}-.6473908{col 77}{space 3} .8170919
{txt}{space 11}region19_12 {c |}{col 24}{res}{space 2} .2157994{col 36}{space 2} .2045755{col 47}{space 1}    1.05{col 56}{space 3}0.294{col 64}{space 4}-.1892457{col 77}{space 3} .6208446
{txt}{space 11}region19_13 {c |}{col 24}{res}{space 2} .4950309{col 36}{space 2} .2726939{col 47}{space 1}    1.82{col 56}{space 3}0.072{col 64}{space 4}-.0448841{col 77}{space 3} 1.034946
{txt}{space 11}region19_14 {c |}{col 24}{res}{space 2}-1.359015{col 36}{space 2} .3463099{col 47}{space 1}   -3.92{col 56}{space 3}0.000{col 64}{space 4}-2.044685{col 77}{space 3}-.6733455
{txt}{space 11}region19_15 {c |}{col 24}{res}{space 2}-1.659464{col 36}{space 2} .3179228{col 47}{space 1}   -5.22{col 56}{space 3}0.000{col 64}{space 4}-2.288929{col 77}{space 3}-1.029999
{txt}{space 11}region19_16 {c |}{col 24}{res}{space 2} .0319835{col 36}{space 2} .1405642{col 47}{space 1}    0.23{col 56}{space 3}0.820{col 64}{space 4}-.2463239{col 77}{space 3} .3102908
{txt}{space 11}region19_17 {c |}{col 24}{res}{space 2}-.3835513{col 36}{space 2} .1600346{col 47}{space 1}   -2.40{col 56}{space 3}0.018{col 64}{space 4}-.7004086{col 77}{space 3} -.066694
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.1240561{col 36}{space 2} .5000223{col 47}{space 1}   -0.25{col 56}{space 3}0.804{col 64}{space 4}-1.114065{col 77}{space 3} .8659532
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.2.3. Binary measure of attendance
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 l_v2x_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(1, 147)         =  {res}    23.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1327
                                                {txt}Root MSE          =    {res} .34776

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}bin_allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} .5936593{col 26}{space 2} .1237504{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} .3490996{col 67}{space 3}  .838219
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0372618{col 26}{space 2} .0245782{col 37}{space 1}    1.52{col 46}{space 3}0.132{col 54}{space 4}-.0113105{col 67}{space 3} .0858342
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(7, 120)         =  {res}    14.49
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3029
                                                {txt}Root MSE          =    {res} .36115

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          bin_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} .7135192{col 36}{space 2} .1370726{col 47}{space 1}    5.21{col 56}{space 3}0.000{col 64}{space 4} .4421249{col 77}{space 3} .9849135
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0055291{col 36}{space 2} .0110496{col 47}{space 1}   -0.50{col 56}{space 3}0.618{col 64}{space 4}-.0274065{col 77}{space 3} .0163484
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0521105{col 36}{space 2} .0363609{col 47}{space 1}   -1.43{col 56}{space 3}0.154{col 64}{space 4}-.1241026{col 77}{space 3} .0198816
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1716411{col 36}{space 2} .0368693{col 47}{space 1}    4.66{col 56}{space 3}0.000{col 64}{space 4} .0986425{col 77}{space 3} .2446398
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1097235{col 36}{space 2} .0671871{col 47}{space 1}   -1.63{col 56}{space 3}0.105{col 64}{space 4}-.2427493{col 77}{space 3} .0233022
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.1486275{col 36}{space 2} .0722337{col 47}{space 1}   -2.06{col 56}{space 3}0.042{col 64}{space 4}-.2916452{col 77}{space 3}-.0056098
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0193568{col 36}{space 2} .0233575{col 47}{space 1}   -0.83{col 56}{space 3}0.409{col 64}{space 4}-.0656031{col 77}{space 3} .0268895
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}  .327265{col 36}{space 2} .2657681{col 47}{space 1}    1.23{col 56}{space 3}0.221{col 64}{space 4}-.1989372{col 77}{space 3} .8534673
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(12, 120)        =  {res}    12.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3301
                                                {txt}Root MSE          =    {res} .35458

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          bin_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  .680386{col 36}{space 2} .1574401{col 47}{space 1}    4.32{col 56}{space 3}0.000{col 64}{space 4} .3686656{col 77}{space 3} .9921065
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0102228{col 36}{space 2} .0118291{col 47}{space 1}   -0.86{col 56}{space 3}0.389{col 64}{space 4}-.0336436{col 77}{space 3}  .013198
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} .0104157{col 36}{space 2} .0357765{col 47}{space 1}    0.29{col 56}{space 3}0.771{col 64}{space 4}-.0604194{col 77}{space 3} .0812507
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1463299{col 36}{space 2} .0421674{col 47}{space 1}    3.47{col 56}{space 3}0.001{col 64}{space 4} .0628415{col 77}{space 3} .2298183
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1626489{col 36}{space 2} .0977669{col 47}{space 1}   -1.66{col 56}{space 3}0.099{col 64}{space 4}-.3562205{col 77}{space 3} .0309227
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.1676838{col 36}{space 2} .1079296{col 47}{space 1}   -1.55{col 56}{space 3}0.123{col 64}{space 4}-.3813768{col 77}{space 3} .0460093
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0243646{col 36}{space 2} .0221839{col 47}{space 1}   -1.10{col 56}{space 3}0.274{col 64}{space 4}-.0682873{col 77}{space 3}  .019558
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1106448{col 36}{space 2}  .154508{col 47}{space 1}   -0.72{col 56}{space 3}0.475{col 64}{space 4}-.4165598{col 77}{space 3} .1952702
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2608899{col 36}{space 2} .0918049{col 47}{space 1}   -2.84{col 56}{space 3}0.005{col 64}{space 4}-.4426572{col 77}{space 3}-.0791226
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.0721254{col 36}{space 2} .1000543{col 47}{space 1}   -0.72{col 56}{space 3}0.472{col 64}{space 4}-.2702259{col 77}{space 3} .1259751
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -.123359{col 36}{space 2} .0954453{col 47}{space 1}   -1.29{col 56}{space 3}0.199{col 64}{space 4}-.3123341{col 77}{space 3} .0656161
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.1873599{col 36}{space 2} .1106249{col 47}{space 1}   -1.69{col 56}{space 3}0.093{col 64}{space 4}-.4063895{col 77}{space 3} .0316696
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .0246767{col 36}{space 2} .2686051{col 47}{space 1}    0.09{col 56}{space 3}0.927{col 64}{space 4}-.5071428{col 77}{space 3} .5564961
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 l_v2x_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1130.8837}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1009.4142}  
Iteration 2:{space 3}log pseudolikelihood = {res:-989.75514}  
Iteration 3:{space 3}log pseudolikelihood = {res:-989.72372}  
Iteration 4:{space 3}log pseudolikelihood = {res:-989.72372}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,504
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     30.28
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-989.72372{txt}{col 49}Pseudo R2{col 67}= {res}    0.1248

{txt}{ralign 78:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}bin_allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 3.506031{col 26}{space 2} .6371639{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} 2.257212{col 67}{space 3} 4.754849
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.583383{col 26}{space 2} .2547668{col 37}{space 1}  -10.14{col 46}{space 3}0.000{col 54}{space 4}-3.082717{col 67}{space 3} -2.08405
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-897.84872}  
Iteration 1:{space 3}log pseudolikelihood = {res:-662.85974}  
Iteration 2:{space 3}log pseudolikelihood = {res:-646.20925}  
Iteration 3:{space 3}log pseudolikelihood = {res:-646.03921}  
Iteration 4:{space 3}log pseudolikelihood = {res:-646.03909}  
Iteration 5:{space 3}log pseudolikelihood = {res:-646.03909}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,605
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     59.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-646.03909{txt}{col 49}Pseudo R2{col 67}= {res}    0.2805

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          bin_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 5.122325{col 36}{space 2} 1.103248{col 47}{space 1}    4.64{col 56}{space 3}0.000{col 64}{space 4} 2.959998{col 77}{space 3} 7.284652
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0474798{col 36}{space 2} .1080169{col 47}{space 1}   -0.44{col 56}{space 3}0.660{col 64}{space 4}-.2591891{col 77}{space 3} .1642295
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.3938432{col 36}{space 2} .3244895{col 47}{space 1}   -1.21{col 56}{space 3}0.225{col 64}{space 4}-1.029831{col 77}{space 3} .2421444
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} 1.002664{col 36}{space 2} .2632144{col 47}{space 1}    3.81{col 56}{space 3}0.000{col 64}{space 4} .4867736{col 77}{space 3} 1.518555
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.8797544{col 36}{space 2}  .635404{col 47}{space 1}   -1.38{col 56}{space 3}0.166{col 64}{space 4}-2.125123{col 77}{space 3} .3656146
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.9582456{col 36}{space 2} .6096408{col 47}{space 1}   -1.57{col 56}{space 3}0.116{col 64}{space 4} -2.15312{col 77}{space 3} .2366285
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} -.348703{col 36}{space 2} .2072266{col 47}{space 1}   -1.68{col 56}{space 3}0.092{col 64}{space 4}-.7548597{col 77}{space 3} .0574537
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.5978256{col 36}{space 2} 2.324642{col 47}{space 1}   -0.26{col 56}{space 3}0.797{col 64}{space 4} -5.15404{col 77}{space 3} 3.958389
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-897.84872}  
Iteration 1:{space 3}log pseudolikelihood = {res:-634.95417}  
Iteration 2:{space 3}log pseudolikelihood = {res:-606.42577}  
Iteration 3:{space 3}log pseudolikelihood = {res:-605.23839}  
Iteration 4:{space 3}log pseudolikelihood = {res:-605.23598}  
Iteration 5:{space 3}log pseudolikelihood = {res:-605.23598}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,605
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     80.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-605.23598{txt}{col 49}Pseudo R2{col 67}= {res}    0.3259

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          bin_allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 5.098531{col 36}{space 2} 1.256336{col 47}{space 1}    4.06{col 56}{space 3}0.000{col 64}{space 4} 2.636157{col 77}{space 3} 7.560904
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0609724{col 36}{space 2} .0988228{col 47}{space 1}   -0.62{col 56}{space 3}0.537{col 64}{space 4}-.2546615{col 77}{space 3} .1327167
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} .1075803{col 36}{space 2} .3162799{col 47}{space 1}    0.34{col 56}{space 3}0.734{col 64}{space 4} -.512317{col 77}{space 3} .7274775
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .8296224{col 36}{space 2} .2764691{col 47}{space 1}    3.00{col 56}{space 3}0.003{col 64}{space 4} .2877529{col 77}{space 3} 1.371492
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} -1.14761{col 36}{space 2} .6983031{col 47}{space 1}   -1.64{col 56}{space 3}0.100{col 64}{space 4}-2.516259{col 77}{space 3} .2210391
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2} -1.09193{col 36}{space 2} .7365002{col 47}{space 1}   -1.48{col 56}{space 3}0.138{col 64}{space 4}-2.535444{col 77}{space 3} .3515841
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.3775884{col 36}{space 2} .1900528{col 47}{space 1}   -1.99{col 56}{space 3}0.047{col 64}{space 4} -.750085{col 77}{space 3}-.0050919
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.6692022{col 36}{space 2} 1.080394{col 47}{space 1}   -0.62{col 56}{space 3}0.536{col 64}{space 4}-2.786735{col 77}{space 3} 1.448331
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-2.657321{col 36}{space 2} .8427799{col 47}{space 1}   -3.15{col 56}{space 3}0.002{col 64}{space 4}-4.309139{col 77}{space 3}-1.005503
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2} -.336216{col 36}{space 2}  .580966{col 47}{space 1}   -0.58{col 56}{space 3}0.563{col 64}{space 4}-1.474889{col 77}{space 3} .8024565
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-1.010922{col 36}{space 2} .7250835{col 47}{space 1}   -1.39{col 56}{space 3}0.163{col 64}{space 4} -2.43206{col 77}{space 3} .4102153
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -1.43739{col 36}{space 2} .7322841{col 47}{space 1}   -1.96{col 56}{space 3}0.050{col 64}{space 4}-2.872641{col 77}{space 3}  -.00214
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-3.324169{col 36}{space 2}   2.2214{col 47}{space 1}   -1.50{col 56}{space 3}0.135{col 64}{space 4}-7.678033{col 77}{space 3} 1.029694
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.2.4. Different democracy measures
.         ****************************************************************************    
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_polyarchy
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,540
                                                {txt}F(1, 149)         =  {res}    12.97
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.1591
                                                {txt}Root MSE          =    {res} .66244

{txt}{ralign 81:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       allstuds{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_polyarchy {c |}{col 17}{res}{space 2} 1.144474{col 29}{space 2} .3178206{col 40}{space 1}    3.60{col 49}{space 3}0.000{col 57}{space 4} .5164564{col 70}{space 3} 1.772492
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.0521569{col 29}{space 2} .0572835{col 40}{space 1}   -0.91{col 49}{space 3}0.364{col 57}{space 4}-.1653498{col 70}{space 3} .0610361
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_polyarchy
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(12, 120)        =  {res}     4.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4031
                                                {txt}Root MSE          =    {res} .65442

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}l_v2x_polyarchy {c |}{col 24}{res}{space 2} 1.476215{col 36}{space 2} .3496638{col 47}{space 1}    4.22{col 56}{space 3}0.000{col 64}{space 4} .7839047{col 77}{space 3} 2.168524
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0020244{col 36}{space 2} .0250477{col 47}{space 1}   -0.08{col 56}{space 3}0.936{col 64}{space 4} -.051617{col 77}{space 3} .0475682
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0502421{col 36}{space 2} .0810662{col 47}{space 1}   -0.62{col 56}{space 3}0.537{col 64}{space 4}-.2107475{col 77}{space 3} .1102633
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3417264{col 36}{space 2}   .10069{col 47}{space 1}    3.39{col 56}{space 3}0.001{col 64}{space 4} .1423672{col 77}{space 3} .5410857
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2920122{col 36}{space 2} .1769714{col 47}{space 1}   -1.65{col 56}{space 3}0.102{col 64}{space 4}-.6424032{col 77}{space 3} .0583788
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4844076{col 36}{space 2} .2164195{col 47}{space 1}   -2.24{col 56}{space 3}0.027{col 64}{space 4}-.9129031{col 77}{space 3} -.055912
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0372129{col 36}{space 2} .0459835{col 47}{space 1}   -0.81{col 56}{space 3}0.420{col 64}{space 4}-.1282571{col 77}{space 3} .0538312
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1454395{col 36}{space 2} .2858126{col 47}{space 1}   -0.51{col 56}{space 3}0.612{col 64}{space 4}-.7113287{col 77}{space 3} .4204496
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4078596{col 36}{space 2} .2090606{col 47}{space 1}   -1.95{col 56}{space 3}0.053{col 64}{space 4} -.821785{col 77}{space 3} .0060658
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1622809{col 36}{space 2} .2069816{col 47}{space 1}   -0.78{col 56}{space 3}0.435{col 64}{space 4}-.5720901{col 77}{space 3} .2475282
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1139067{col 36}{space 2} .2052733{col 47}{space 1}   -0.55{col 56}{space 3}0.580{col 64}{space 4}-.5203336{col 77}{space 3} .2925202
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2616706{col 36}{space 2} .3095316{col 47}{space 1}   -0.85{col 56}{space 3}0.400{col 64}{space 4}-.8745217{col 77}{space 3} .3511805
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2413977{col 36}{space 2} .5905587{col 47}{space 1}    0.41{col 56}{space 3}0.683{col 64}{space 4}-.9278674{col 77}{space 3} 1.410663
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_partipdem
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,523
                                                {txt}F(1, 148)         =  {res}    11.62
                                                {txt}Prob > F          = {res}    0.0008
                                                {txt}R-squared         = {res}    0.1566
                                                {txt}Root MSE          =    {res} .66534

{txt}{ralign 81:(Std. Err. adjusted for {res:149} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       allstuds{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_partipdem {c |}{col 17}{res}{space 2} 1.596568{col 29}{space 2} .4684533{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} .6708474{col 70}{space 3}  2.52229
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .0164762{col 29}{space 2} .0462385{col 40}{space 1}    0.36{col 49}{space 3}0.722{col 57}{space 4}-.0748967{col 70}{space 3} .1078492
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_partipdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(12, 120)        =  {res}     4.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3939
                                                {txt}Root MSE          =    {res} .65945

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}l_v2x_partipdem {c |}{col 24}{res}{space 2} 2.060834{col 36}{space 2} .5630861{col 47}{space 1}    3.66{col 56}{space 3}0.000{col 64}{space 4} .9459626{col 77}{space 3} 3.175705
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0000301{col 36}{space 2} .0258773{col 47}{space 1}   -0.00{col 56}{space 3}0.999{col 64}{space 4}-.0512655{col 77}{space 3} .0512052
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0782184{col 36}{space 2}  .084316{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.2451582{col 77}{space 3} .0887214
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3447206{col 36}{space 2} .1030736{col 47}{space 1}    3.34{col 56}{space 3}0.001{col 64}{space 4} .1406421{col 77}{space 3} .5487991
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2983852{col 36}{space 2} .1774185{col 47}{space 1}   -1.68{col 56}{space 3}0.095{col 64}{space 4}-.6496614{col 77}{space 3}  .052891
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5205091{col 36}{space 2}  .229321{col 47}{space 1}   -2.27{col 56}{space 3}0.025{col 64}{space 4}-.9745487{col 77}{space 3}-.0664695
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0250072{col 36}{space 2} .0477937{col 47}{space 1}   -0.52{col 56}{space 3}0.602{col 64}{space 4}-.1196354{col 77}{space 3}  .069621
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0997598{col 36}{space 2} .2978898{col 47}{space 1}   -0.33{col 56}{space 3}0.738{col 64}{space 4}-.6895609{col 77}{space 3} .4900414
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4193136{col 36}{space 2} .2081222{col 47}{space 1}   -2.01{col 56}{space 3}0.046{col 64}{space 4} -.831381{col 77}{space 3}-.0072462
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1666206{col 36}{space 2} .2037251{col 47}{space 1}   -0.82{col 56}{space 3}0.415{col 64}{space 4}-.5699821{col 77}{space 3} .2367408
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1185906{col 36}{space 2}  .207695{col 47}{space 1}   -0.57{col 56}{space 3}0.569{col 64}{space 4}-.5298123{col 77}{space 3} .2926311
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -.313691{col 36}{space 2}  .324069{col 47}{space 1}   -0.97{col 56}{space 3}0.335{col 64}{space 4}-.9553252{col 77}{space 3} .3279431
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .5701862{col 36}{space 2} .6192811{col 47}{space 1}    0.92{col 56}{space 3}0.359{col 64}{space 4}-.6559473{col 77}{space 3}  1.79632
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_delibdem
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,540
                                                {txt}F(1, 149)         =  {res}    12.82
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1699
                                                {txt}Root MSE          =    {res} .65816

{txt}{ralign 80:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      allstuds{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_delibdem {c |}{col 16}{res}{space 2} 1.331859{col 28}{space 2} .3720454{col 39}{space 1}    3.58{col 48}{space 3}0.000{col 56}{space 4} .5966921{col 69}{space 3} 2.067025
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0053539{col 28}{space 2} .0436295{col 39}{space 1}    0.12{col 48}{space 3}0.902{col 56}{space 4}-.0808586{col 69}{space 3} .0915664
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_delibdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(12, 120)        =  {res}     4.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4011
                                                {txt}Root MSE          =    {res} .65554

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}l_v2x_delibdem {c |}{col 24}{res}{space 2} 1.653267{col 36}{space 2} .4215107{col 47}{space 1}    3.92{col 56}{space 3}0.000{col 64}{space 4} .8187057{col 77}{space 3} 2.487829
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} -.006635{col 36}{space 2} .0248748{col 47}{space 1}   -0.27{col 56}{space 3}0.790{col 64}{space 4}-.0558854{col 77}{space 3} .0426154
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0655175{col 36}{space 2} .0818577{col 47}{space 1}   -0.80{col 56}{space 3}0.425{col 64}{space 4}-.2275901{col 77}{space 3}  .096555
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3410075{col 36}{space 2} .1027426{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} .1375843{col 77}{space 3} .5444307
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2938339{col 36}{space 2}  .172479{col 47}{space 1}   -1.70{col 56}{space 3}0.091{col 64}{space 4}-.6353304{col 77}{space 3} .0476626
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5535969{col 36}{space 2} .2255578{col 47}{space 1}   -2.45{col 56}{space 3}0.016{col 64}{space 4}-1.000186{col 77}{space 3}-.1070081
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0351568{col 36}{space 2} .0469916{col 47}{space 1}   -0.75{col 56}{space 3}0.456{col 64}{space 4}-.1281969{col 77}{space 3} .0578833
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0097736{col 36}{space 2} .3019989{col 47}{space 1}   -0.03{col 56}{space 3}0.974{col 64}{space 4}-.6077103{col 77}{space 3} .5881632
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3486038{col 36}{space 2} .2071079{col 47}{space 1}   -1.68{col 56}{space 3}0.095{col 64}{space 4} -.758663{col 77}{space 3} .0614554
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1851244{col 36}{space 2} .1987848{col 47}{space 1}   -0.93{col 56}{space 3}0.354{col 64}{space 4}-.5787044{col 77}{space 3} .2084556
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0850282{col 36}{space 2}  .208289{col 47}{space 1}   -0.41{col 56}{space 3}0.684{col 64}{space 4} -.497426{col 77}{space 3} .3273695
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2575211{col 36}{space 2} .3086301{col 47}{space 1}   -0.83{col 56}{space 3}0.406{col 64}{space 4}-.8685873{col 77}{space 3}  .353545
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4624084{col 36}{space 2} .6025911{col 47}{space 1}    0.77{col 56}{space 3}0.444{col 64}{space 4}  -.73068{col 77}{space 3} 1.655497
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.2.5. Measures on regime difference
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_libdem 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(1, 147)         =  {res}    12.39
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.1660
                                                {txt}Root MSE          =    {res} .66376

{txt}{ralign 82:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}        allstuds{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_regdiff_libdem {c |}{col 18}{res}{space 2} 1.289358{col 30}{space 2} .3662671{col 41}{space 1}    3.52{col 50}{space 3}0.001{col 58}{space 4} .5655291{col 71}{space 3} 2.013187
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7066671{col 30}{space 2} .1647549{col 41}{space 1}    4.29{col 50}{space 3}0.000{col 58}{space 4} .3810729{col 71}{space 3} 1.032261
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr 
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(7, 120)         =  {res}     5.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3948
                                                {txt}Root MSE          =    {res} .65826

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}l_regdiff_libdem {c |}{col 24}{res}{space 2} 1.657642{col 36}{space 2} .3638734{col 47}{space 1}    4.56{col 56}{space 3}0.000{col 64}{space 4} .9371983{col 77}{space 3} 2.378086
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0021537{col 36}{space 2} .0231876{col 47}{space 1}    0.09{col 56}{space 3}0.926{col 64}{space 4}-.0437562{col 77}{space 3} .0480636
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1710278{col 36}{space 2} .0841527{col 47}{space 1}   -2.03{col 56}{space 3}0.044{col 64}{space 4}-.3376443{col 77}{space 3}-.0044113
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3662751{col 36}{space 2} .0838098{col 47}{space 1}    4.37{col 56}{space 3}0.000{col 64}{space 4} .2003375{col 77}{space 3} .5322127
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2123177{col 36}{space 2} .1215455{col 47}{space 1}   -1.75{col 56}{space 3}0.083{col 64}{space 4}-.4529693{col 77}{space 3} .0283339
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2} -.407547{col 36}{space 2} .1524827{col 47}{space 1}   -2.67{col 56}{space 3}0.009{col 64}{space 4}-.7094522{col 77}{space 3}-.1056419
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0312539{col 36}{space 2}  .048196{col 47}{space 1}   -0.65{col 56}{space 3}0.518{col 64}{space 4}-.1266787{col 77}{space 3} .0641708
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.938532{col 36}{space 2} .7190821{col 47}{space 1}    2.70{col 56}{space 3}0.008{col 64}{space 4} .5147993{col 77}{space 3} 3.362264
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(12, 120)        =  {res}     4.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4091
                                                {txt}Root MSE          =    {res} .65146

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}l_regdiff_libdem {c |}{col 24}{res}{space 2} 1.679358{col 36}{space 2} .4053603{col 47}{space 1}    4.14{col 56}{space 3}0.000{col 64}{space 4} .8767731{col 77}{space 3} 2.481943
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0059884{col 36}{space 2} .0251363{col 47}{space 1}   -0.24{col 56}{space 3}0.812{col 64}{space 4}-.0557565{col 77}{space 3} .0437797
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0493695{col 36}{space 2} .0800715{col 47}{space 1}   -0.62{col 56}{space 3}0.539{col 64}{space 4}-.2079056{col 77}{space 3} .1091665
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3487174{col 36}{space 2} .1023877{col 47}{space 1}    3.41{col 56}{space 3}0.001{col 64}{space 4} .1459968{col 77}{space 3}  .551438
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2489484{col 36}{space 2} .1722079{col 47}{space 1}   -1.45{col 56}{space 3}0.151{col 64}{space 4}-.5899081{col 77}{space 3} .0920112
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4834022{col 36}{space 2}  .215309{col 47}{space 1}   -2.25{col 56}{space 3}0.027{col 64}{space 4} -.909699{col 77}{space 3}-.0571055
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0438201{col 36}{space 2} .0491319{col 47}{space 1}   -0.89{col 56}{space 3}0.374{col 64}{space 4}-.1410979{col 77}{space 3} .0534577
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} -.103384{col 36}{space 2} .2822705{col 47}{space 1}   -0.37{col 56}{space 3}0.715{col 64}{space 4}-.6622601{col 77}{space 3}  .455492
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3534169{col 36}{space 2} .2024277{col 47}{space 1}   -1.75{col 56}{space 3}0.083{col 64}{space 4}-.7542096{col 77}{space 3} .0473758
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2061352{col 36}{space 2} .1938869{col 47}{space 1}   -1.06{col 56}{space 3}0.290{col 64}{space 4}-.5900177{col 77}{space 3} .1777473
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0449403{col 36}{space 2} .2038825{col 47}{space 1}   -0.22{col 56}{space 3}0.826{col 64}{space 4}-.4486135{col 77}{space 3} .3587329
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3436759{col 36}{space 2} .3108591{col 47}{space 1}   -1.11{col 56}{space 3}0.271{col 64}{space 4}-.9591554{col 77}{space 3} .2718036
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.238477{col 36}{space 2} .6356765{col 47}{space 1}    1.95{col 56}{space 3}0.054{col 64}{space 4}-.0201183{col 77}{space 3} 2.497072
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_polyarchy 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,540
                                                {txt}F(1, 149)         =  {res}    12.63
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1596
                                                {txt}Root MSE          =    {res} .66225

{txt}{ralign 85:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}           allstuds{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_regdiff_polyarchy {c |}{col 21}{res}{space 2} 1.147643{col 33}{space 2} .3229453{col 44}{space 1}    3.55{col 53}{space 3}0.001{col 61}{space 4} .5094992{col 74}{space 3} 1.785788
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .6968929{col 33}{space 2} .1613261{col 44}{space 1}    4.32{col 53}{space 3}0.000{col 61}{space 4} .3781104{col 74}{space 3} 1.015675
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_polyarchy
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(7, 120)         =  {res}     4.94
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.3849
                                                {txt}Root MSE          =    {res} .66329

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}l_regdiff_polyarchy {c |}{col 24}{res}{space 2}  1.46691{col 36}{space 2} .3266771{col 47}{space 1}    4.49{col 56}{space 3}0.000{col 64}{space 4} .8201123{col 77}{space 3} 2.113708
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0018706{col 36}{space 2} .0231802{col 47}{space 1}    0.08{col 56}{space 3}0.936{col 64}{space 4}-.0440246{col 77}{space 3} .0477658
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} -.140694{col 36}{space 2} .0794998{col 47}{space 1}   -1.77{col 56}{space 3}0.079{col 64}{space 4}-.2980982{col 77}{space 3} .0167101
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .377159{col 36}{space 2} .0843397{col 47}{space 1}    4.47{col 56}{space 3}0.000{col 64}{space 4} .2101723{col 77}{space 3} .5441458
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2027786{col 36}{space 2} .1158593{col 47}{space 1}   -1.75{col 56}{space 3}0.083{col 64}{space 4} -.432172{col 77}{space 3} .0266147
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4227152{col 36}{space 2} .1553897{col 47}{space 1}   -2.72{col 56}{space 3}0.007{col 64}{space 4}-.7303761{col 77}{space 3}-.1150543
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0179577{col 36}{space 2} .0429552{col 47}{space 1}   -0.42{col 56}{space 3}0.677{col 64}{space 4}-.1030059{col 77}{space 3} .0670906
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.661766{col 36}{space 2}  .675182{col 47}{space 1}    2.46{col 56}{space 3}0.015{col 64}{space 4} .3249524{col 77}{space 3} 2.998579
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_regdiff_polyarchy
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(12, 120)        =  {res}     4.43
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4039
                                                {txt}Root MSE          =    {res} .65399

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}l_regdiff_polyarchy {c |}{col 24}{res}{space 2} 1.446671{col 36}{space 2} .3490317{col 47}{space 1}    4.14{col 56}{space 3}0.000{col 64}{space 4} .7556125{col 77}{space 3} 2.137729
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0036267{col 36}{space 2} .0249365{col 47}{space 1}   -0.15{col 56}{space 3}0.885{col 64}{space 4}-.0529993{col 77}{space 3} .0457458
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0276467{col 36}{space 2}  .081065{col 47}{space 1}   -0.34{col 56}{space 3}0.734{col 64}{space 4}-.1881498{col 77}{space 3} .1328565
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}   .34694{col 36}{space 2} .1017418{col 47}{space 1}    3.41{col 56}{space 3}0.001{col 64}{space 4} .1454984{col 77}{space 3} .5483816
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2613807{col 36}{space 2} .1765946{col 47}{space 1}   -1.48{col 56}{space 3}0.141{col 64}{space 4}-.6110258{col 77}{space 3} .0882644
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4700083{col 36}{space 2} .2158297{col 47}{space 1}   -2.18{col 56}{space 3}0.031{col 64}{space 4} -.897336{col 77}{space 3}-.0426805
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0355094{col 36}{space 2} .0459096{col 47}{space 1}   -0.77{col 56}{space 3}0.441{col 64}{space 4}-.1264073{col 77}{space 3} .0553884
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1766766{col 36}{space 2} .2858676{col 47}{space 1}   -0.62{col 56}{space 3}0.538{col 64}{space 4}-.7426745{col 77}{space 3} .3893213
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4173103{col 36}{space 2} .2100065{col 47}{space 1}   -1.99{col 56}{space 3}0.049{col 64}{space 4}-.8331085{col 77}{space 3}-.0015121
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2} -.170364{col 36}{space 2} .2080224{col 47}{space 1}   -0.82{col 56}{space 3}0.414{col 64}{space 4} -.582234{col 77}{space 3} .2415059
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -.069385{col 36}{space 2} .2076692{col 47}{space 1}   -0.33{col 56}{space 3}0.739{col 64}{space 4}-.4805554{col 77}{space 3} .3417855
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2857268{col 36}{space 2} .3111654{col 47}{space 1}   -0.92{col 56}{space 3}0.360{col 64}{space 4}-.9018126{col 77}{space 3}  .330359
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.024809{col 36}{space 2}  .618219{col 47}{space 1}    1.66{col 56}{space 3}0.100{col 64}{space 4}-.1992212{col 77}{space 3}  2.24884
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.2.6. Regime types (Reference category: Closed autocracy)
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_autoc_elect 
>                 l_democ_elect 
>                 l_democ_liber 
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,540
                                                {txt}F(3, 149)         =  {res}     4.22
                                                {txt}Prob > F          = {res}    0.0067
                                                {txt}R-squared         = {res}    0.1695
                                                {txt}Root MSE          =    {res} .65857

{txt}{ralign 79:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     allstuds{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_autoc_elect {c |}{col 15}{res}{space 2}  .043873{col 27}{space 2} .0528253{col 38}{space 1}    0.83{col 47}{space 3}0.408{col 55}{space 4}-.0605104{col 68}{space 3} .1482565
{txt}l_democ_elect {c |}{col 15}{res}{space 2} .4945643{col 27}{space 2} .2867006{col 38}{space 1}    1.73{col 47}{space 3}0.087{col 55}{space 4}-.0719597{col 68}{space 3} 1.061088
{txt}l_democ_liber {c |}{col 15}{res}{space 2} .9045059{col 27}{space 2} .2932972{col 38}{space 1}    3.08{col 47}{space 3}0.002{col 55}{space 4} .3249467{col 68}{space 3} 1.484065
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .1165468{col 27}{space 2} .0334772{col 38}{space 1}    3.48{col 47}{space 3}0.001{col 55}{space 4} .0503954{col 68}{space 3} .1826981
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_autoc_elect 
>                 l_democ_elect 
>                 l_democ_liber   
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(9, 120)         =  {res}     4.13
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.3975
                                                {txt}Root MSE          =    {res} .65688

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}l_autoc_elect {c |}{col 24}{res}{space 2} .1332195{col 36}{space 2} .0746493{col 47}{space 1}    1.78{col 56}{space 3}0.077{col 64}{space 4} -.014581{col 77}{space 3} .2810199
{txt}{space 9}l_democ_elect {c |}{col 24}{res}{space 2} .7152232{col 36}{space 2} .2554676{col 47}{space 1}    2.80{col 56}{space 3}0.006{col 64}{space 4} .2094151{col 77}{space 3} 1.221031
{txt}{space 9}l_democ_liber {c |}{col 24}{res}{space 2} 1.197672{col 36}{space 2} .2915685{col 47}{space 1}    4.11{col 56}{space 3}0.000{col 64}{space 4} .6203868{col 77}{space 3} 1.774958
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0079523{col 36}{space 2}  .024269{col 47}{space 1}    0.33{col 56}{space 3}0.744{col 64}{space 4}-.0400986{col 77}{space 3} .0560032
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1955349{col 36}{space 2} .0946572{col 47}{space 1}   -2.07{col 56}{space 3}0.041{col 64}{space 4}-.3829497{col 77}{space 3}-.0081202
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .363687{col 36}{space 2} .0841642{col 47}{space 1}    4.32{col 56}{space 3}0.000{col 64}{space 4} .1970477{col 77}{space 3} .5303262
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2112056{col 36}{space 2} .1203966{col 47}{space 1}   -1.75{col 56}{space 3}0.082{col 64}{space 4}-.4495824{col 77}{space 3} .0271713
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4710249{col 36}{space 2} .1628956{col 47}{space 1}   -2.89{col 56}{space 3}0.005{col 64}{space 4}-.7935468{col 77}{space 3}-.1485031
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0282955{col 36}{space 2} .0479971{col 47}{space 1}   -0.59{col 56}{space 3}0.557{col 64}{space 4}-.1233264{col 77}{space 3} .0667354
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.337495{col 36}{space 2} .6986965{col 47}{space 1}    1.91{col 56}{space 3}0.058{col 64}{space 4}-.0458755{col 77}{space 3} 2.720865
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds
>                 l_autoc_elect 
>                 l_democ_elect 
>                 l_democ_liber   
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     4.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4112
                                                {txt}Root MSE          =    {res} .65039

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}l_autoc_elect {c |}{col 24}{res}{space 2} .1456678{col 36}{space 2} .0810136{col 47}{space 1}    1.80{col 56}{space 3}0.075{col 64}{space 4}-.0147335{col 77}{space 3} .3060691
{txt}{space 9}l_democ_elect {c |}{col 24}{res}{space 2} .7479643{col 36}{space 2} .2550234{col 47}{space 1}    2.93{col 56}{space 3}0.004{col 64}{space 4} .2430357{col 77}{space 3} 1.252893
{txt}{space 9}l_democ_liber {c |}{col 24}{res}{space 2} 1.265332{col 36}{space 2} .4017148{col 47}{space 1}    3.15{col 56}{space 3}0.002{col 64}{space 4} .4699645{col 77}{space 3} 2.060699
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0024086{col 36}{space 2} .0242367{col 47}{space 1}   -0.10{col 56}{space 3}0.921{col 64}{space 4}-.0503955{col 77}{space 3} .0455783
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0828236{col 36}{space 2} .0829775{col 47}{space 1}   -1.00{col 56}{space 3}0.320{col 64}{space 4}-.2471132{col 77}{space 3}  .081466
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3472271{col 36}{space 2} .1013357{col 47}{space 1}    3.43{col 56}{space 3}0.001{col 64}{space 4} .1465896{col 77}{space 3} .5478647
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2463761{col 36}{space 2} .1841005{col 47}{space 1}   -1.34{col 56}{space 3}0.183{col 64}{space 4}-.6108822{col 77}{space 3} .1181301
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5642791{col 36}{space 2} .2252303{col 47}{space 1}   -2.51{col 56}{space 3}0.014{col 64}{space 4} -1.01022{col 77}{space 3}-.1183388
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0383765{col 36}{space 2} .0471267{col 47}{space 1}   -0.81{col 56}{space 3}0.417{col 64}{space 4}-.1316841{col 77}{space 3}  .054931
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0455744{col 36}{space 2} .3014673{col 47}{space 1}   -0.15{col 56}{space 3}0.880{col 64}{space 4}-.6424586{col 77}{space 3} .5513099
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3345448{col 36}{space 2} .2027971{col 47}{space 1}   -1.65{col 56}{space 3}0.102{col 64}{space 4} -.736069{col 77}{space 3} .0669794
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1632722{col 36}{space 2} .1980948{col 47}{space 1}   -0.82{col 56}{space 3}0.411{col 64}{space 4}-.5554862{col 77}{space 3} .2289417
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0724116{col 36}{space 2}  .214877{col 47}{space 1}   -0.34{col 56}{space 3}0.737{col 64}{space 4}-.4978531{col 77}{space 3} .3530298
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3759121{col 36}{space 2} .3675198{col 47}{space 1}   -1.02{col 56}{space 3}0.308{col 64}{space 4}-1.103576{col 77}{space 3} .3517515
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6873629{col 36}{space 2} .6134728{col 47}{space 1}    1.12{col 56}{space 3}0.265{col 64}{space 4}-.5272705{col 77}{space 3} 1.901996
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.2.7. Age of democracy
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds
>                 democ_years
>                 democ_years2
>                 democ_years3
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,541
                                                {txt}F(3, 149)         =  {res}     5.08
                                                {txt}Prob > F          = {res}    0.0022
                                                {txt}R-squared         = {res}    0.1567
                                                {txt}Root MSE          =    {res} .66352

{txt}{ralign 78:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}democ_years {c |}{col 14}{res}{space 2} 2.441316{col 26}{space 2} .9132628{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .6366963{col 67}{space 3} 4.245935
{txt}democ_years2 {c |}{col 14}{res}{space 2}-2.124347{col 26}{space 2} .9785086{col 37}{space 1}   -2.17{col 46}{space 3}0.032{col 54}{space 4}-4.057893{col 67}{space 3}-.1908009
{txt}democ_years3 {c |}{col 14}{res}{space 2} .5267394{col 26}{space 2} .2875635{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0414899{col 67}{space 3} 1.094969
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1310371{col 26}{space 2} .0278612{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4}  .075983{col 67}{space 3} .1860911
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 democ_years
>                 democ_years2
>                 democ_years3
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(9, 120)         =  {res}     5.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3807
                                                {txt}Root MSE          =    {res} .66598

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}democ_years {c |}{col 24}{res}{space 2} 3.138164{col 36}{space 2} .9873997{col 47}{space 1}    3.18{col 56}{space 3}0.002{col 64}{space 4} 1.183181{col 77}{space 3} 5.093147
{txt}{space 10}democ_years2 {c |}{col 24}{res}{space 2}-2.947463{col 36}{space 2} 1.177949{col 47}{space 1}   -2.50{col 56}{space 3}0.014{col 64}{space 4}-5.279719{col 77}{space 3}-.6152062
{txt}{space 10}democ_years3 {c |}{col 24}{res}{space 2} .7900491{col 36}{space 2} .3698423{col 47}{space 1}    2.14{col 56}{space 3}0.035{col 64}{space 4} .0577871{col 77}{space 3} 1.522311
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0037654{col 36}{space 2} .0222587{col 47}{space 1}   -0.17{col 56}{space 3}0.866{col 64}{space 4}-.0478361{col 77}{space 3} .0403054
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1275868{col 36}{space 2} .0778625{col 47}{space 1}   -1.64{col 56}{space 3}0.104{col 64}{space 4} -.281749{col 77}{space 3} .0265755
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3732122{col 36}{space 2} .0861496{col 47}{space 1}    4.33{col 56}{space 3}0.000{col 64}{space 4} .2026419{col 77}{space 3} .5437825
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1064914{col 36}{space 2} .1091295{col 47}{space 1}   -0.98{col 56}{space 3}0.331{col 64}{space 4}-.3225601{col 77}{space 3} .1095774
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4742755{col 36}{space 2} .1593121{col 47}{space 1}   -2.98{col 56}{space 3}0.004{col 64}{space 4}-.7897023{col 77}{space 3}-.1588487
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0055291{col 36}{space 2} .0417215{col 47}{space 1}   -0.13{col 56}{space 3}0.895{col 64}{space 4}-.0881348{col 77}{space 3} .0770766
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .9076941{col 36}{space 2} .5823303{col 47}{space 1}    1.56{col 56}{space 3}0.122{col 64}{space 4}-.2452793{col 77}{space 3} 2.060668
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 democ_years
>                 democ_years2
>                 democ_years3
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     6.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3980
                                                {txt}Root MSE          =    {res} .65765

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}democ_years {c |}{col 24}{res}{space 2} 3.054424{col 36}{space 2} 1.028513{col 47}{space 1}    2.97{col 56}{space 3}0.004{col 64}{space 4}  1.01804{col 77}{space 3} 5.090808
{txt}{space 10}democ_years2 {c |}{col 24}{res}{space 2} -2.90349{col 36}{space 2} 1.216772{col 47}{space 1}   -2.39{col 56}{space 3}0.019{col 64}{space 4}-5.312613{col 77}{space 3}-.4943661
{txt}{space 10}democ_years3 {c |}{col 24}{res}{space 2} .7757566{col 36}{space 2} .3802437{col 47}{space 1}    2.04{col 56}{space 3}0.044{col 64}{space 4} .0229005{col 77}{space 3} 1.528613
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0072385{col 36}{space 2} .0251579{col 47}{space 1}   -0.29{col 56}{space 3}0.774{col 64}{space 4}-.0570493{col 77}{space 3} .0425723
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0146325{col 36}{space 2} .0880041{col 47}{space 1}   -0.17{col 56}{space 3}0.868{col 64}{space 4}-.1888745{col 77}{space 3} .1596096
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .341989{col 36}{space 2} .1028601{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} .1383331{col 77}{space 3} .5456448
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1755613{col 36}{space 2} .1891598{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.5500846{col 77}{space 3} .1989619
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5193894{col 36}{space 2} .2247074{col 47}{space 1}   -2.31{col 56}{space 3}0.023{col 64}{space 4}-.9642943{col 77}{space 3}-.0744845
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0235232{col 36}{space 2} .0453514{col 47}{space 1}   -0.52{col 56}{space 3}0.605{col 64}{space 4}-.1133159{col 77}{space 3} .0662694
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} -.183293{col 36}{space 2} .2953555{col 47}{space 1}   -0.62{col 56}{space 3}0.536{col 64}{space 4}-.7680764{col 77}{space 3} .4014904
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4021644{col 36}{space 2} .2287176{col 47}{space 1}   -1.76{col 56}{space 3}0.081{col 64}{space 4}-.8550094{col 77}{space 3} .0506806
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2440812{col 36}{space 2} .2169262{col 47}{space 1}   -1.13{col 56}{space 3}0.263{col 64}{space 4}  -.67358{col 77}{space 3} .1854177
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0657633{col 36}{space 2} .2232089{col 47}{space 1}   -0.29{col 56}{space 3}0.769{col 64}{space 4}-.5077014{col 77}{space 3} .3761748
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2417722{col 36}{space 2} .3157141{col 47}{space 1}   -0.77{col 56}{space 3}0.445{col 64}{space 4} -.866864{col 77}{space 3} .3833197
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2866522{col 36}{space 2} .6275225{col 47}{space 1}    0.46{col 56}{space 3}0.649{col 64}{space 4}-.9557986{col 77}{space 3} 1.529103
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.                 
.         
.         ****************************************************************************
.         *Table SM.2.8. Additional controls for country’s political importance
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_ln_pop
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(13, 120)        =  {res}     4.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4329
                                                {txt}Root MSE          =    {res} .63838

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.525731{col 36}{space 2} .3519456{col 47}{space 1}    4.34{col 56}{space 3}0.000{col 64}{space 4} .8289032{col 77}{space 3} 2.222559
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0222241{col 36}{space 2} .0247666{col 47}{space 1}   -0.90{col 56}{space 3}0.371{col 64}{space 4}-.0712601{col 77}{space 3}  .026812
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} -.025033{col 36}{space 2} .0729356{col 47}{space 1}   -0.34{col 56}{space 3}0.732{col 64}{space 4}-.1694403{col 77}{space 3} .1193744
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1804538{col 36}{space 2} .1077941{col 47}{space 1}    1.67{col 56}{space 3}0.097{col 64}{space 4}-.0329709{col 77}{space 3} .3938785
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2266493{col 36}{space 2} .1496306{col 47}{space 1}   -1.51{col 56}{space 3}0.132{col 64}{space 4}-.5229074{col 77}{space 3} .0696088
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5198844{col 36}{space 2} .2056754{col 47}{space 1}   -2.53{col 56}{space 3}0.013{col 64}{space 4}-.9271074{col 77}{space 3}-.1126615
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0032299{col 36}{space 2} .0486554{col 47}{space 1}   -0.07{col 56}{space 3}0.947{col 64}{space 4}-.0995642{col 77}{space 3} .0931044
{txt}{space 14}l_ln_pop {c |}{col 24}{res}{space 2} .1840422{col 36}{space 2} .0547271{col 47}{space 1}    3.36{col 56}{space 3}0.001{col 64}{space 4} .0756864{col 77}{space 3} .2923981
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .1064136{col 36}{space 2} .2677799{col 47}{space 1}    0.40{col 56}{space 3}0.692{col 64}{space 4} -.423772{col 77}{space 3} .6365992
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2943404{col 36}{space 2} .1877362{col 47}{space 1}   -1.57{col 56}{space 3}0.120{col 64}{space 4}-.6660449{col 77}{space 3} .0773642
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.0748816{col 36}{space 2} .1713182{col 47}{space 1}   -0.44{col 56}{space 3}0.663{col 64}{space 4}-.4140797{col 77}{space 3} .2643165
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0664824{col 36}{space 2} .1965329{col 47}{space 1}   -0.34{col 56}{space 3}0.736{col 64}{space 4}-.4556038{col 77}{space 3} .3226391
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2320359{col 36}{space 2} .2723708{col 47}{space 1}   -0.85{col 56}{space 3}0.396{col 64}{space 4}-.7713112{col 77}{space 3} .3072394
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} -1.33909{col 36}{space 2} .6469136{col 47}{space 1}   -2.07{col 56}{space 3}0.041{col 64}{space 4}-2.619934{col 77}{space 3}-.0582464
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_comneighb_mean_vdem
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(13, 119)        =  {res}     4.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4170
                                                {txt}Root MSE          =    {res} .64997

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.725544{col 36}{space 2} .4132687{col 47}{space 1}    4.18{col 56}{space 3}0.000{col 64}{space 4}  .907231{col 77}{space 3} 2.543857
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0020183{col 36}{space 2} .0250557{col 47}{space 1}   -0.08{col 56}{space 3}0.936{col 64}{space 4}-.0516311{col 77}{space 3} .0475945
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0798209{col 36}{space 2} .0813885{col 47}{space 1}   -0.98{col 56}{space 3}0.329{col 64}{space 4}-.2409782{col 77}{space 3} .0813365
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3368282{col 36}{space 2} .0990069{col 47}{space 1}    3.40{col 56}{space 3}0.001{col 64}{space 4} .1407846{col 77}{space 3} .5328718
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2503631{col 36}{space 2} .1658678{col 47}{space 1}   -1.51{col 56}{space 3}0.134{col 64}{space 4}-.5787979{col 77}{space 3} .0780716
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5138723{col 36}{space 2} .2153562{col 47}{space 1}   -2.39{col 56}{space 3}0.019{col 64}{space 4} -.940299{col 77}{space 3}-.0874456
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} -.014529{col 36}{space 2} .0446954{col 47}{space 1}   -0.33{col 56}{space 3}0.746{col 64}{space 4}-.1030303{col 77}{space 3} .0739723
{txt}{space 1}l_comneighb_mean_vdem {c |}{col 24}{res}{space 2}-.1929017{col 36}{space 2} .3474891{col 47}{space 1}   -0.56{col 56}{space 3}0.580{col 64}{space 4}-.8809648{col 77}{space 3} .4951614
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0015348{col 36}{space 2} .2949622{col 47}{space 1}   -0.01{col 56}{space 3}0.996{col 64}{space 4}-.5855894{col 77}{space 3} .5825197
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4257038{col 36}{space 2} .2376859{col 47}{space 1}   -1.79{col 56}{space 3}0.076{col 64}{space 4}-.8963456{col 77}{space 3} .0449381
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2601357{col 36}{space 2} .2211163{col 47}{space 1}   -1.18{col 56}{space 3}0.242{col 64}{space 4} -.697968{col 77}{space 3} .1776967
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -.155134{col 36}{space 2}  .222018{col 47}{space 1}   -0.70{col 56}{space 3}0.486{col 64}{space 4}-.5947517{col 77}{space 3} .2844838
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3319075{col 36}{space 2} .3162355{col 47}{space 1}   -1.05{col 56}{space 3}0.296{col 64}{space 4}-.9580854{col 77}{space 3} .2942704
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6457619{col 36}{space 2} .6652264{col 47}{space 1}    0.97{col 56}{space 3}0.334{col 64}{space 4}-.6714528{col 77}{space 3} 1.962977
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_us_totdyadtraperc                     
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(13, 120)        =  {res}     4.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4092
                                                {txt}Root MSE          =    {res} .65159

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.696087{col 36}{space 2} .4143139{col 47}{space 1}    4.09{col 56}{space 3}0.000{col 64}{space 4} .8757748{col 77}{space 3}   2.5164
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0065659{col 36}{space 2} .0235117{col 47}{space 1}   -0.28{col 56}{space 3}0.781{col 64}{space 4}-.0531176{col 77}{space 3} .0399857
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0756508{col 36}{space 2} .0810125{col 47}{space 1}   -0.93{col 56}{space 3}0.352{col 64}{space 4}  -.23605{col 77}{space 3} .0847484
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3413491{col 36}{space 2} .1041841{col 47}{space 1}    3.28{col 56}{space 3}0.001{col 64}{space 4} .1350718{col 77}{space 3} .5476264
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2814824{col 36}{space 2} .1714458{col 47}{space 1}   -1.64{col 56}{space 3}0.103{col 64}{space 4}-.6209331{col 77}{space 3} .0579684
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}   -.4865{col 36}{space 2} .2164792{col 47}{space 1}   -2.25{col 56}{space 3}0.026{col 64}{space 4}-.9151136{col 77}{space 3}-.0578863
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0440845{col 36}{space 2} .0474561{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.1380443{col 77}{space 3} .0498754
{txt}{space 3}l_us_totdyadtraperc {c |}{col 24}{res}{space 2}  .007667{col 36}{space 2}  .054595{col 47}{space 1}    0.14{col 56}{space 3}0.889{col 64}{space 4}-.1004272{col 77}{space 3} .1157612
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0649742{col 36}{space 2} .2816476{col 47}{space 1}   -0.23{col 56}{space 3}0.818{col 64}{space 4}-.6226169{col 77}{space 3} .4926686
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2} -.342574{col 36}{space 2} .2008195{col 47}{space 1}   -1.71{col 56}{space 3}0.091{col 64}{space 4}-.7401826{col 77}{space 3} .0550346
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1905493{col 36}{space 2} .1909748{col 47}{space 1}   -1.00{col 56}{space 3}0.320{col 64}{space 4}-.5686661{col 77}{space 3} .1875676
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0916667{col 36}{space 2} .2017135{col 47}{space 1}   -0.45{col 56}{space 3}0.650{col 64}{space 4}-.4910454{col 77}{space 3} .3077121
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3217157{col 36}{space 2} .3050714{col 47}{space 1}   -1.05{col 56}{space 3}0.294{col 64}{space 4}-.9257358{col 77}{space 3} .2823044
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4954343{col 36}{space 2} .5994339{col 47}{space 1}    0.83{col 56}{space 3}0.410{col 64}{space 4}-.6914032{col 77}{space 3} 1.682272
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 
>                 l_ln_pop
>                 l_comneighb_mean_vdem
>                 l_us_totdyadtraperc             
>                 
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(15, 119)        =  {res}     4.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4417
                                                {txt}Root MSE          =    {res}  .6365

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  1.55527{col 36}{space 2} .3694908{col 47}{space 1}    4.21{col 56}{space 3}0.000{col 64}{space 4} .8236416{col 77}{space 3} 2.286899
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0163095{col 36}{space 2} .0231762{col 47}{space 1}   -0.70{col 56}{space 3}0.483{col 64}{space 4}-.0622006{col 77}{space 3} .0295817
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0256546{col 36}{space 2} .0774617{col 47}{space 1}   -0.33{col 56}{space 3}0.741{col 64}{space 4}-.1790365{col 77}{space 3} .1277273
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1712867{col 36}{space 2} .1058607{col 47}{space 1}    1.62{col 56}{space 3}0.108{col 64}{space 4}-.0383281{col 77}{space 3} .3809015
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1940809{col 36}{space 2} .1497595{col 47}{space 1}   -1.30{col 56}{space 3}0.198{col 64}{space 4}-.4906197{col 77}{space 3} .1024579
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5533715{col 36}{space 2} .2119713{col 47}{space 1}   -2.61{col 56}{space 3}0.010{col 64}{space 4}-.9730958{col 77}{space 3}-.1336472
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .0255111{col 36}{space 2} .0444889{col 47}{space 1}    0.57{col 56}{space 3}0.567{col 64}{space 4}-.0625814{col 77}{space 3} .1136036
{txt}{space 14}l_ln_pop {c |}{col 24}{res}{space 2} .1908198{col 36}{space 2}  .061226{col 47}{space 1}    3.12{col 56}{space 3}0.002{col 64}{space 4} .0695863{col 77}{space 3} .3120534
{txt}{space 1}l_comneighb_mean_vdem {c |}{col 24}{res}{space 2}-.1278209{col 36}{space 2}  .339834{col 47}{space 1}   -0.38{col 56}{space 3}0.707{col 64}{space 4}-.8007261{col 77}{space 3} .5450844
{txt}{space 3}l_us_totdyadtraperc {c |}{col 24}{res}{space 2}-.0113975{col 36}{space 2} .0479123{col 47}{space 1}   -0.24{col 56}{space 3}0.812{col 64}{space 4}-.1062687{col 77}{space 3} .0834737
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .1529221{col 36}{space 2} .2881391{col 47}{space 1}    0.53{col 56}{space 3}0.597{col 64}{space 4} -.417622{col 77}{space 3} .7234662
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3543331{col 36}{space 2}  .221164{col 47}{space 1}   -1.60{col 56}{space 3}0.112{col 64}{space 4}-.7922599{col 77}{space 3} .0835937
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1278788{col 36}{space 2} .2016539{col 47}{space 1}   -0.63{col 56}{space 3}0.527{col 64}{space 4}-.5271737{col 77}{space 3} .2714161
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1132885{col 36}{space 2} .2129937{col 47}{space 1}   -0.53{col 56}{space 3}0.596{col 64}{space 4}-.5350374{col 77}{space 3} .3084603
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2283413{col 36}{space 2} .2808563{col 47}{space 1}   -0.81{col 56}{space 3}0.418{col 64}{space 4}-.7844648{col 77}{space 3} .3277822
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-1.301656{col 36}{space 2} .8065537{col 47}{space 1}   -1.61{col 56}{space 3}0.109{col 64}{space 4}-2.898713{col 77}{space 3} .2954011
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.2.9. Communist threats in liberal democracies
.         ****************************************************************************
.         
.         *Generating interactions
.         gen l_libdem_X_marxinsurg = l_v2x_libdem * l_marxinsurg
{txt}(40 missing values generated)

{com}.         gen l_libdem_X_communistcso = l_v2x_libdem * l_communistcso
{txt}(45 missing values generated)

{com}.         gen l_libdem_X_comneighb = l_v2x_libdem * l_comneighb_mean_vdem 
{txt}(95 missing values generated)

{com}.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_communistcso
>                 l_libdem_X_communistcso         
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,499
                                                {txt}F(3, 147)         =  {res}     4.54
                                                {txt}Prob > F          = {res}    0.0045
                                                {txt}R-squared         = {res}    0.1885
                                                {txt}Root MSE          =    {res} .65534

{txt}{ralign 89:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}               allstuds{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}l_v2x_libdem {c |}{col 25}{res}{space 2} 1.677749{col 37}{space 2} .4893995{col 48}{space 1}    3.43{col 57}{space 3}0.001{col 65}{space 4} .7105815{col 78}{space 3} 2.644916
{txt}{space 9}l_communistcso {c |}{col 25}{res}{space 2}-.0366136{col 37}{space 2} .0536319{col 48}{space 1}   -0.68{col 57}{space 3}0.496{col 65}{space 4}-.1426028{col 78}{space 3} .0693756
{txt}l_libdem_X_communistcso {c |}{col 25}{res}{space 2} .4783347{col 37}{space 2}  .339607{col 48}{space 1}    1.41{col 57}{space 3}0.161{col 65}{space 4}-.1928079{col 78}{space 3} 1.149477
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-.0558527{col 37}{space 2} .0597882{col 48}{space 1}   -0.93{col 57}{space 3}0.352{col 65}{space 4} -.174008{col 78}{space 3} .0623026
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.                         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_communistcso
>                 l_libdem_X_communistcso         
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,603
                                                {txt}F(13, 120)        =  {res}     4.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4079
                                                {txt}Root MSE          =    {res} .65253

{txt}{ralign 89:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}               allstuds{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}l_v2x_libdem {c |}{col 25}{res}{space 2} 1.738941{col 37}{space 2} .4168055{col 48}{space 1}    4.17{col 57}{space 3}0.000{col 65}{space 4}  .913695{col 78}{space 3} 2.564187
{txt}{space 9}l_communistcso {c |}{col 25}{res}{space 2} -.019107{col 37}{space 2}  .074347{col 48}{space 1}   -0.26{col 57}{space 3}0.798{col 65}{space 4}-.1663089{col 78}{space 3} .1280949
{txt}l_libdem_X_communistcso {c |}{col 25}{res}{space 2} .0782297{col 37}{space 2} .3868573{col 48}{space 1}    0.20{col 57}{space 3}0.840{col 65}{space 4}-.6877208{col 78}{space 3} .8441802
{txt}{space 12}l_ln_fuelpc {c |}{col 25}{res}{space 2}-.0055504{col 37}{space 2}  .026028{col 48}{space 1}   -0.21{col 57}{space 3}0.831{col 65}{space 4}-.0570841{col 78}{space 3} .0459832
{txt}{space 13}l_ln_rgdpc {c |}{col 25}{res}{space 2} -.066426{col 37}{space 2} .0781768{col 48}{space 1}   -0.85{col 57}{space 3}0.397{col 65}{space 4}-.2212107{col 78}{space 3} .0883587
{txt}{space 7}l_ln_milperratio {c |}{col 25}{res}{space 2} .3538092{col 37}{space 2} .1003441{col 48}{space 1}    3.53{col 57}{space 3}0.001{col 65}{space 4} .1551349{col 78}{space 3} .5524834
{txt}{space 1}l_v2exl_legitideolcr_1 {c |}{col 25}{res}{space 2}-.4948332{col 37}{space 2} .2348311{col 48}{space 1}   -2.11{col 57}{space 3}0.037{col 65}{space 4}-.9597825{col 78}{space 3} -.029884
{txt}{space 14}l_hr_mean {c |}{col 25}{res}{space 2}-.0370787{col 37}{space 2} .0499543{col 48}{space 1}   -0.74{col 57}{space 3}0.459{col 65}{space 4}-.1359847{col 78}{space 3} .0618272
{txt}{space 14}region6_1 {c |}{col 25}{res}{space 2}-.0518162{col 37}{space 2} .2785002{col 48}{space 1}   -0.19{col 57}{space 3}0.853{col 65}{space 4}-.6032272{col 78}{space 3} .4995948
{txt}{space 14}region6_2 {c |}{col 25}{res}{space 2}-.3136114{col 37}{space 2} .1864666{col 48}{space 1}   -1.68{col 57}{space 3}0.095{col 65}{space 4}-.6828023{col 78}{space 3} .0555795
{txt}{space 14}region6_3 {c |}{col 25}{res}{space 2}-.1658472{col 37}{space 2} .1779716{col 48}{space 1}   -0.93{col 57}{space 3}0.353{col 65}{space 4}-.5182185{col 78}{space 3} .1865242
{txt}{space 14}region6_4 {c |}{col 25}{res}{space 2}-.0521663{col 37}{space 2} .1880515{col 48}{space 1}   -0.28{col 57}{space 3}0.782{col 65}{space 4}-.4244951{col 78}{space 3} .3201626
{txt}{space 14}region6_5 {c |}{col 25}{res}{space 2}-.3012425{col 37}{space 2} .3175717{col 48}{space 1}   -0.95{col 57}{space 3}0.345{col 65}{space 4}-.9300124{col 78}{space 3} .3275275
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} .3853474{col 37}{space 2} .5945435{col 48}{space 1}    0.65{col 57}{space 3}0.518{col 65}{space 4}-.7918074{col 78}{space 3} 1.562502
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_marxinsurg
>                 l_libdem_X_marxinsurg           
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,504
                                                {txt}F(3, 147)         =  {res}    25.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1667
                                                {txt}Root MSE          =    {res} .66377

{txt}{ralign 87:(Std. Err. adjusted for {res:148} clusters in cowcode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             allstuds{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}l_v2x_libdem {c |}{col 23}{res}{space 2} 1.293061{col 35}{space 2}  .364476{col 46}{space 1}    3.55{col 55}{space 3}0.001{col 63}{space 4} .5727713{col 76}{space 3}  2.01335
{txt}{space 9}l_marxinsurg {c |}{col 23}{res}{space 2}-.0721486{col 35}{space 2} .0716968{col 46}{space 1}   -1.01{col 55}{space 3}0.316{col 63}{space 4}-.2138382{col 76}{space 3} .0695409
{txt}l_libdem_X_marxinsurg {c |}{col 23}{res}{space 2} .2027154{col 35}{space 2}   .40956{col 46}{space 1}    0.49{col 55}{space 3}0.621{col 63}{space 4}-.6066707{col 76}{space 3} 1.012102
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0106658{col 35}{space 2} .0490948{col 46}{space 1}   -0.22{col 55}{space 3}0.828{col 63}{space 4}-.1076885{col 76}{space 3}  .086357
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.                 
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_marxinsurg
>                 l_libdem_X_marxinsurg           
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(13, 120)        =  {res}     7.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4088
                                                {txt}Root MSE          =    {res}  .6518

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.720587{col 36}{space 2} .4162718{col 47}{space 1}    4.13{col 56}{space 3}0.000{col 64}{space 4} .8963977{col 77}{space 3} 2.544776
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3060073{col 36}{space 2}  .179072{col 47}{space 1}   -1.71{col 56}{space 3}0.090{col 64}{space 4}-.6605573{col 77}{space 3} .0485428
{txt}{space 1}l_libdem_X_marxinsurg {c |}{col 24}{res}{space 2} .1672393{col 36}{space 2} .7488905{col 47}{space 1}    0.22{col 56}{space 3}0.824{col 64}{space 4}-1.315512{col 77}{space 3}  1.64999
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0044636{col 36}{space 2} .0255647{col 47}{space 1}   -0.17{col 56}{space 3}0.862{col 64}{space 4}-.0550799{col 77}{space 3} .0461527
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0733237{col 36}{space 2} .0823137{col 47}{space 1}   -0.89{col 56}{space 3}0.375{col 64}{space 4} -.236299{col 77}{space 3} .0896517
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3441411{col 36}{space 2} .1017373{col 47}{space 1}    3.38{col 56}{space 3}0.001{col 64}{space 4} .1427084{col 77}{space 3} .5455738
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4989196{col 36}{space 2} .2160982{col 47}{space 1}   -2.31{col 56}{space 3}0.023{col 64}{space 4} -.926779{col 77}{space 3}-.0710602
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0459808{col 36}{space 2} .0495275{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.1440418{col 77}{space 3} .0520802
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0686695{col 36}{space 2} .2820566{col 47}{space 1}   -0.24{col 56}{space 3}0.808{col 64}{space 4} -.627122{col 77}{space 3}  .489783
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3414075{col 36}{space 2} .2008863{col 47}{space 1}   -1.70{col 56}{space 3}0.092{col 64}{space 4}-.7391484{col 77}{space 3} .0563335
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1974885{col 36}{space 2}  .192243{col 47}{space 1}   -1.03{col 56}{space 3}0.306{col 64}{space 4}-.5781164{col 77}{space 3} .1831393
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0887442{col 36}{space 2}  .202024{col 47}{space 1}   -0.44{col 56}{space 3}0.661{col 64}{space 4}-.4887377{col 77}{space 3} .3112493
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3214197{col 36}{space 2} .3084745{col 47}{space 1}   -1.04{col 56}{space 3}0.300{col 64}{space 4}-.9321776{col 77}{space 3} .2893383
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}  .475089{col 36}{space 2}  .604739{col 47}{space 1}    0.79{col 56}{space 3}0.434{col 64}{space 4}-.7222521{col 77}{space 3}  1.67243
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_comneighb_mean_vdem           
>                 l_libdem_X_comneighb            
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,453
                                                {txt}F(3, 144)         =  {res}     6.50
                                                {txt}Prob > F          = {res}    0.0004
                                                {txt}R-squared         = {res}    0.2102
                                                {txt}Root MSE          =    {res} .65196

{txt}{ralign 87:(Std. Err. adjusted for {res:145} clusters in cowcode)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             allstuds{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}l_v2x_libdem {c |}{col 23}{res}{space 2} .9982696{col 35}{space 2}  .549978{col 46}{space 1}    1.82{col 55}{space 3}0.072{col 63}{space 4}-.0888032{col 76}{space 3} 2.085342
{txt}l_comneighb_mean_vdem {c |}{col 23}{res}{space 2} .1492918{col 35}{space 2} .1770943{col 46}{space 1}    0.84{col 55}{space 3}0.401{col 63}{space 4}-.2007484{col 76}{space 3} .4993319
{txt}{space 1}l_libdem_X_comneighb {c |}{col 23}{res}{space 2} 1.137356{col 35}{space 2} 1.444744{col 46}{space 1}    0.79{col 55}{space 3}0.432{col 63}{space 4}-1.718289{col 76}{space 3} 3.993001
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0510868{col 35}{space 2} .0650639{col 46}{space 1}   -0.79{col 55}{space 3}0.434{col 63}{space 4}-.1796905{col 76}{space 3} .0775169
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_comneighb_mean_vdem           
>                 l_libdem_X_comneighb            
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(14, 119)        =  {res}     4.42
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4295
                                                {txt}Root MSE          =    {res} .64317

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.162482{col 36}{space 2} .5181072{col 47}{space 1}    2.24{col 56}{space 3}0.027{col 64}{space 4}  .136578{col 77}{space 3} 2.188386
{txt}{space 1}l_comneighb_mean_vdem {c |}{col 24}{res}{space 2}-.9422442{col 36}{space 2} .3925879{col 47}{space 1}   -2.40{col 56}{space 3}0.018{col 64}{space 4}-1.719607{col 77}{space 3}-.1648809
{txt}{space 2}l_libdem_X_comneighb {c |}{col 24}{res}{space 2} 1.869501{col 36}{space 2} 1.364514{col 47}{space 1}    1.37{col 56}{space 3}0.173{col 64}{space 4}-.8323738{col 77}{space 3} 4.571376
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0011891{col 36}{space 2} .0237499{col 47}{space 1}   -0.05{col 56}{space 3}0.960{col 64}{space 4}-.0482163{col 77}{space 3} .0458381
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} -.093699{col 36}{space 2} .0771757{col 47}{space 1}   -1.21{col 56}{space 3}0.227{col 64}{space 4}-.2465145{col 77}{space 3} .0591165
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3373962{col 36}{space 2}  .100221{col 47}{space 1}    3.37{col 56}{space 3}0.001{col 64}{space 4} .1389487{col 77}{space 3} .5358438
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2280385{col 36}{space 2} .1599242{col 47}{space 1}   -1.43{col 56}{space 3}0.157{col 64}{space 4}-.5447044{col 77}{space 3} .0886275
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5132369{col 36}{space 2} .2091295{col 47}{space 1}   -2.45{col 56}{space 3}0.016{col 64}{space 4}-.9273341{col 77}{space 3}-.0991396
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .0055094{col 36}{space 2} .0468941{col 47}{space 1}    0.12{col 56}{space 3}0.907{col 64}{space 4}-.0873456{col 77}{space 3} .0983643
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .2112305{col 36}{space 2} .2878564{col 47}{space 1}    0.73{col 56}{space 3}0.465{col 64}{space 4} -.358754{col 77}{space 3}  .781215
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.5367324{col 36}{space 2} .2333495{col 47}{space 1}   -2.30{col 56}{space 3}0.023{col 64}{space 4}-.9987877{col 77}{space 3}-.0746771
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.3680051{col 36}{space 2} .2140928{col 47}{space 1}   -1.72{col 56}{space 3}0.088{col 64}{space 4}-.7919303{col 77}{space 3}   .05592
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.2527431{col 36}{space 2} .2246973{col 47}{space 1}   -1.12{col 56}{space 3}0.263{col 64}{space 4}-.6976662{col 77}{space 3}   .19218
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -.444961{col 36}{space 2} .3148439{col 47}{space 1}   -1.41{col 56}{space 3}0.160{col 64}{space 4}-1.068383{col 77}{space 3} .1784614
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.043214{col 36}{space 2} .6340603{col 47}{space 1}    1.65{col 56}{space 3}0.103{col 64}{space 4}-.2122888{col 77}{space 3} 2.298717
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.2.10. Leave-one-out outlier test
.         ****************************************************************************    
.         
.         *Identifying outliers
.         gen leavout=1 if cowcode==750 | cowcode==770 | cowcode==325 | cowcode==220 | cowcode==740 | cowcode==200 | cowcode==260
{txt}(2,568 missing values generated)

{com}.         
.         *Storing outlier information in macro
.         levelsof cowcode if leavout==1, local(count)
{res}{txt}200 220 260 325 740 750 770

{com}.         
.         *Model 
.         #delimit ;
{txt}delimiter now ;
{com}.         foreach x of local count {c -(} ;
{txt}  2{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1 & cowcode!=`x', vce(cluster cowcode)
>                 ;
{txt}  3{com}.         {c )-} ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3823
                                                {txt}Root MSE          =    {res} .62192

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.625889{col 36}{space 2}    .4193{col 47}{space 1}    3.88{col 56}{space 3}0.000{col 64}{space 4} .7956331{col 77}{space 3} 2.456145
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0109705{col 36}{space 2} .0234309{col 47}{space 1}   -0.47{col 56}{space 3}0.640{col 64}{space 4} -.057366{col 77}{space 3} .0354251
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0616947{col 36}{space 2} .0803996{col 47}{space 1}   -0.77{col 56}{space 3}0.444{col 64}{space 4} -.220894{col 77}{space 3} .0975046
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3036829{col 36}{space 2} .0971044{col 47}{space 1}    3.13{col 56}{space 3}0.002{col 64}{space 4} .1114065{col 77}{space 3} .4959593
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3159603{col 36}{space 2} .1707189{col 47}{space 1}   -1.85{col 56}{space 3}0.067{col 64}{space 4}-.6540008{col 77}{space 3} .0220802
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4880247{col 36}{space 2} .2141915{col 47}{space 1}   -2.28{col 56}{space 3}0.024{col 64}{space 4}-.9121453{col 77}{space 3}-.0639041
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0473773{col 36}{space 2} .0456699{col 47}{space 1}   -1.04{col 56}{space 3}0.302{col 64}{space 4}-.1378083{col 77}{space 3} .0430536
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0712147{col 36}{space 2} .2706842{col 47}{space 1}   -0.26{col 56}{space 3}0.793{col 64}{space 4}-.6071965{col 77}{space 3} .4647671
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4020051{col 36}{space 2} .1979042{col 47}{space 1}   -2.03{col 56}{space 3}0.044{col 64}{space 4}-.7938752{col 77}{space 3}-.0101351
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2369887{col 36}{space 2} .1906426{col 47}{space 1}   -1.24{col 56}{space 3}0.216{col 64}{space 4}-.6144801{col 77}{space 3} .1405027
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1668435{col 36}{space 2} .1967725{col 47}{space 1}   -0.85{col 56}{space 3}0.398{col 64}{space 4}-.5564727{col 77}{space 3} .2227858
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4059385{col 36}{space 2} .3150408{col 47}{space 1}   -1.29{col 56}{space 3}0.200{col 64}{space 4}-1.029751{col 77}{space 3} .2178738
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4948042{col 36}{space 2} .5862322{col 47}{space 1}    0.84{col 56}{space 3}0.400{col 64}{space 4}-.6659942{col 77}{space 3} 1.655603
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3748
                                                {txt}Root MSE          =    {res} .63609

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.653096{col 36}{space 2} .4213369{col 47}{space 1}    3.92{col 56}{space 3}0.000{col 64}{space 4} .8188073{col 77}{space 3} 2.487386
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0034266{col 36}{space 2} .0244021{col 47}{space 1}   -0.14{col 56}{space 3}0.889{col 64}{space 4}-.0517452{col 77}{space 3}  .044892
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0632809{col 36}{space 2} .0799332{col 47}{space 1}   -0.79{col 56}{space 3}0.430{col 64}{space 4}-.2215567{col 77}{space 3} .0949948
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3047367{col 36}{space 2} .1002015{col 47}{space 1}    3.04{col 56}{space 3}0.003{col 64}{space 4} .1063276{col 77}{space 3} .5031457
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3121985{col 36}{space 2} .1736212{col 47}{space 1}   -1.80{col 56}{space 3}0.075{col 64}{space 4}-.6559857{col 77}{space 3} .0315888
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4323133{col 36}{space 2}  .210641{col 47}{space 1}   -2.05{col 56}{space 3}0.042{col 64}{space 4}-.8494034{col 77}{space 3}-.0152232
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0436134{col 36}{space 2} .0458938{col 47}{space 1}   -0.95{col 56}{space 3}0.344{col 64}{space 4}-.1344877{col 77}{space 3} .0472609
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1246792{col 36}{space 2} .2718273{col 47}{space 1}   -0.46{col 56}{space 3}0.647{col 64}{space 4}-.6629244{col 77}{space 3}  .413566
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3937605{col 36}{space 2} .2012448{col 47}{space 1}   -1.96{col 56}{space 3}0.053{col 64}{space 4}-.7922453{col 77}{space 3} .0047243
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2383452{col 36}{space 2} .1896385{col 47}{space 1}   -1.26{col 56}{space 3}0.211{col 64}{space 4}-.6138484{col 77}{space 3}  .137158
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1593436{col 36}{space 2} .2017797{col 47}{space 1}   -0.79{col 56}{space 3}0.431{col 64}{space 4}-.5588876{col 77}{space 3} .2402004
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4061283{col 36}{space 2} .3150026{col 47}{space 1}   -1.29{col 56}{space 3}0.200{col 64}{space 4}-1.029865{col 77}{space 3} .2176084
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4746226{col 36}{space 2} .5841093{col 47}{space 1}    0.81{col 56}{space 3}0.418{col 64}{space 4}-.6819721{col 77}{space 3} 1.631217
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,592
                                                {txt}F(12, 119)        =  {res}     4.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3852
                                                {txt}Root MSE          =    {res} .64157

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.607812{col 36}{space 2}  .414673{col 47}{space 1}    3.88{col 56}{space 3}0.000{col 64}{space 4} .7867183{col 77}{space 3} 2.428906
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0099344{col 36}{space 2} .0240922{col 47}{space 1}   -0.41{col 56}{space 3}0.681{col 64}{space 4}-.0576394{col 77}{space 3} .0377706
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0581905{col 36}{space 2} .0793944{col 47}{space 1}   -0.73{col 56}{space 3}0.465{col 64}{space 4}-.2153994{col 77}{space 3} .0990184
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3360436{col 36}{space 2} .1042331{col 47}{space 1}    3.22{col 56}{space 3}0.002{col 64}{space 4} .1296516{col 77}{space 3} .5424356
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2875039{col 36}{space 2}  .175182{col 47}{space 1}   -1.64{col 56}{space 3}0.103{col 64}{space 4}-.6343817{col 77}{space 3}  .059374
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4519211{col 36}{space 2} .2176906{col 47}{space 1}   -2.08{col 56}{space 3}0.040{col 64}{space 4}-.8829702{col 77}{space 3}-.0208721
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0379243{col 36}{space 2} .0462118{col 47}{space 1}   -0.82{col 56}{space 3}0.413{col 64}{space 4}-.1294282{col 77}{space 3} .0535797
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1092436{col 36}{space 2} .2816662{col 47}{space 1}   -0.39{col 56}{space 3}0.699{col 64}{space 4}-.6669708{col 77}{space 3} .4484836
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3598086{col 36}{space 2} .2050548{col 47}{space 1}   -1.75{col 56}{space 3}0.082{col 64}{space 4}-.7658377{col 77}{space 3} .0462204
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2105927{col 36}{space 2} .1948322{col 47}{space 1}   -1.08{col 56}{space 3}0.282{col 64}{space 4}  -.59638{col 77}{space 3} .1751946
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1168086{col 36}{space 2} .2072472{col 47}{space 1}   -0.56{col 56}{space 3}0.574{col 64}{space 4}-.5271788{col 77}{space 3} .2935616
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3605824{col 36}{space 2} .3172509{col 47}{space 1}   -1.14{col 56}{space 3}0.258{col 64}{space 4}-.9887708{col 77}{space 3}  .267606
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}  .404922{col 36}{space 2} .5819008{col 47}{space 1}    0.70{col 56}{space 3}0.488{col 64}{space 4}-.7472998{col 77}{space 3} 1.557144
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3916
                                                {txt}Root MSE          =    {res} .63321

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.697359{col 36}{space 2} .4173389{col 47}{space 1}    4.07{col 56}{space 3}0.000{col 64}{space 4} .8709868{col 77}{space 3} 2.523732
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0052478{col 36}{space 2} .0224478{col 47}{space 1}    0.23{col 56}{space 3}0.816{col 64}{space 4}-.0392011{col 77}{space 3} .0496967
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0722761{col 36}{space 2} .0808995{col 47}{space 1}   -0.89{col 56}{space 3}0.373{col 64}{space 4}-.2324652{col 77}{space 3} .0879131
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .309528{col 36}{space 2} .0995697{col 47}{space 1}    3.11{col 56}{space 3}0.002{col 64}{space 4}   .11237{col 77}{space 3}  .506686
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3031322{col 36}{space 2}  .173559{col 47}{space 1}   -1.75{col 56}{space 3}0.083{col 64}{space 4}-.6467963{col 77}{space 3} .0405319
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4674907{col 36}{space 2} .2144649{col 47}{space 1}   -2.18{col 56}{space 3}0.031{col 64}{space 4}-.8921526{col 77}{space 3}-.0428289
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0469103{col 36}{space 2}  .047233{col 47}{space 1}   -0.99{col 56}{space 3}0.323{col 64}{space 4}-.1404363{col 77}{space 3} .0466156
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1148359{col 36}{space 2} .2731109{col 47}{space 1}   -0.42{col 56}{space 3}0.675{col 64}{space 4}-.6556227{col 77}{space 3} .4259509
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3868205{col 36}{space 2} .2003536{col 47}{space 1}   -1.93{col 56}{space 3}0.056{col 64}{space 4}-.7835406{col 77}{space 3} .0098996
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2402857{col 36}{space 2}   .18789{col 47}{space 1}   -1.28{col 56}{space 3}0.203{col 64}{space 4}-.6123266{col 77}{space 3} .1317553
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1413059{col 36}{space 2} .2024236{col 47}{space 1}   -0.70{col 56}{space 3}0.486{col 64}{space 4}-.5421249{col 77}{space 3} .2595131
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4251831{col 36}{space 2} .3041403{col 47}{space 1}   -1.40{col 56}{space 3}0.165{col 64}{space 4}-1.027411{col 77}{space 3}  .177045
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .5172306{col 36}{space 2} .5881061{col 47}{space 1}    0.88{col 56}{space 3}0.381{col 64}{space 4}-.6472782{col 77}{space 3} 1.681739
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,589
                                                {txt}F(12, 119)        =  {res}     4.33
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3796
                                                {txt}Root MSE          =    {res} .63105

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.453558{col 36}{space 2} .3784929{col 47}{space 1}    3.84{col 56}{space 3}0.000{col 64}{space 4} .7041043{col 77}{space 3} 2.203012
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}  -.00476{col 36}{space 2} .0242971{col 47}{space 1}   -0.20{col 56}{space 3}0.845{col 64}{space 4}-.0528706{col 77}{space 3} .0433507
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1036021{col 36}{space 2}   .07769{col 47}{space 1}   -1.33{col 56}{space 3}0.185{col 64}{space 4}-.2574361{col 77}{space 3} .0502319
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .335885{col 36}{space 2} .1023526{col 47}{space 1}    3.28{col 56}{space 3}0.001{col 64}{space 4} .1332166{col 77}{space 3} .5385534
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2370326{col 36}{space 2} .1742596{col 47}{space 1}   -1.36{col 56}{space 3}0.176{col 64}{space 4}-.5820841{col 77}{space 3} .1080189
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4178949{col 36}{space 2} .2091793{col 47}{space 1}   -2.00{col 56}{space 3}0.048{col 64}{space 4}-.8320907{col 77}{space 3} -.003699
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0414393{col 36}{space 2} .0469798{col 47}{space 1}   -0.88{col 56}{space 3}0.380{col 64}{space 4}-.1344641{col 77}{space 3} .0515855
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0328344{col 36}{space 2} .2783321{col 47}{space 1}   -0.12{col 56}{space 3}0.906{col 64}{space 4}-.5839598{col 77}{space 3}  .518291
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2163987{col 36}{space 2} .1789119{col 47}{space 1}   -1.21{col 56}{space 3}0.229{col 64}{space 4}-.5706622{col 77}{space 3} .1378648
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.0886385{col 36}{space 2} .1742735{col 47}{space 1}   -0.51{col 56}{space 3}0.612{col 64}{space 4}-.4337176{col 77}{space 3} .2564405
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0260217{col 36}{space 2} .1991936{col 47}{space 1}   -0.13{col 56}{space 3}0.896{col 64}{space 4}-.4204449{col 77}{space 3} .3684016
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -.063745{col 36}{space 2} .2511369{col 47}{space 1}   -0.25{col 56}{space 3}0.800{col 64}{space 4}-.5610211{col 77}{space 3}  .433531
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6440643{col 36}{space 2} .5791522{col 47}{space 1}    1.11{col 56}{space 3}0.268{col 64}{space 4}-.5027148{col 77}{space 3} 1.790843
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3910
                                                {txt}Root MSE          =    {res}  .6318

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.533468{col 36}{space 2} .4053848{col 47}{space 1}    3.78{col 56}{space 3}0.000{col 64}{space 4} .7307657{col 77}{space 3}  2.33617
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0082866{col 36}{space 2} .0245203{col 47}{space 1}   -0.34{col 56}{space 3}0.736{col 64}{space 4}-.0568392{col 77}{space 3}  .040266
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} -.023272{col 36}{space 2} .0691926{col 47}{space 1}   -0.34{col 56}{space 3}0.737{col 64}{space 4}-.1602803{col 77}{space 3} .1137362
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3230434{col 36}{space 2} .1011987{col 47}{space 1}    3.19{col 56}{space 3}0.002{col 64}{space 4} .1226599{col 77}{space 3} .5234269
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2150112{col 36}{space 2} .1659283{col 47}{space 1}   -1.30{col 56}{space 3}0.198{col 64}{space 4}-.5435658{col 77}{space 3} .1135433
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5530656{col 36}{space 2} .2032453{col 47}{space 1}   -2.72{col 56}{space 3}0.007{col 64}{space 4}-.9555115{col 77}{space 3}-.1506197
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} -.055567{col 36}{space 2} .0481778{col 47}{space 1}   -1.15{col 56}{space 3}0.251{col 64}{space 4}-.1509638{col 77}{space 3} .0398299
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0041552{col 36}{space 2}  .259744{col 47}{space 1}   -0.02{col 56}{space 3}0.987{col 64}{space 4}-.5184743{col 77}{space 3}  .510164
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3349908{col 36}{space 2} .2038771{col 47}{space 1}   -1.64{col 56}{space 3}0.103{col 64}{space 4}-.7386878{col 77}{space 3} .0687063
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1781961{col 36}{space 2} .1949926{col 47}{space 1}   -0.91{col 56}{space 3}0.363{col 64}{space 4}-.5643009{col 77}{space 3} .2079088
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0478006{col 36}{space 2} .1984193{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4}-.4406907{col 77}{space 3} .3450895
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2470048{col 36}{space 2} .3244733{col 47}{space 1}   -0.76{col 56}{space 3}0.448{col 64}{space 4}-.8894944{col 77}{space 3} .3954849
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}  .127881{col 36}{space 2} .5086997{col 47}{space 1}    0.25{col 56}{space 3}0.802{col 64}{space 4}-.8793951{col 77}{space 3} 1.135157
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4039
                                                {txt}Root MSE          =    {res} .64082

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.691903{col 36}{space 2}  .420194{col 47}{space 1}    4.03{col 56}{space 3}0.000{col 64}{space 4} .8598769{col 77}{space 3} 2.523929
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0052391{col 36}{space 2} .0250445{col 47}{space 1}   -0.21{col 56}{space 3}0.835{col 64}{space 4}-.0548297{col 77}{space 3} .0443514
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0472013{col 36}{space 2} .0780409{col 47}{space 1}   -0.60{col 56}{space 3}0.546{col 64}{space 4}  -.20173{col 77}{space 3} .1073275
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .340891{col 36}{space 2}  .100556{col 47}{space 1}    3.39{col 56}{space 3}0.001{col 64}{space 4} .1417801{col 77}{space 3} .5400018
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2096787{col 36}{space 2}  .164424{col 47}{space 1}   -1.28{col 56}{space 3}0.205{col 64}{space 4}-.5352546{col 77}{space 3} .1158972
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4409155{col 36}{space 2} .2071825{col 47}{space 1}   -2.13{col 56}{space 3}0.035{col 64}{space 4}-.8511575{col 77}{space 3}-.0306735
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0392153{col 36}{space 2}  .048196{col 47}{space 1}   -0.81{col 56}{space 3}0.417{col 64}{space 4}-.1346481{col 77}{space 3} .0562175
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0559344{col 36}{space 2} .2740138{col 47}{space 1}   -0.20{col 56}{space 3}0.839{col 64}{space 4}-.5985092{col 77}{space 3} .4866403
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2895359{col 36}{space 2} .2004674{col 47}{space 1}   -1.44{col 56}{space 3}0.151{col 64}{space 4}-.6864814{col 77}{space 3} .1074095
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1420431{col 36}{space 2} .1892807{col 47}{space 1}   -0.75{col 56}{space 3}0.454{col 64}{space 4}-.5168378{col 77}{space 3} .2327517
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0248361{col 36}{space 2} .1941507{col 47}{space 1}   -0.13{col 56}{space 3}0.898{col 64}{space 4}-.4092739{col 77}{space 3} .3596018
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2879858{col 36}{space 2} .3186204{col 47}{space 1}   -0.90{col 56}{space 3}0.368{col 64}{space 4}-.9188861{col 77}{space 3} .3429144
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2160382{col 36}{space 2} .5474719{col 47}{space 1}    0.39{col 56}{space 3}0.694{col 64}{space 4}-.8680109{col 77}{space 3} 1.300087
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                                             
{txt}delimiter now cr
{com}.                                 
.         
.         ****************************************************************************
.         *Table SM.2.11. Endogeneity test
.         ****************************************************************************    
.         
.         *Preserving data
.         preserve
{txt}
{com}.         
.         *Aggregating student numbers
.         bysort cowcode (year): egen allstuds_sum=total(allstuds), missing
{txt}(4 missing values generated)

{com}.         
.         *Reducing data to cross-section (year=1951 with lagged vars -> values==1950)
.         keep if year==1951
{txt}(2,541 observations deleted)

{com}.                 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds_sum 
>                 l_v2x_libdem 
>                 , vce(robust)
>                 ;

{txt}Linear regression                               Number of obs     = {res}       146
                                                {txt}F(1, 144)         =  {res}    11.56
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.1828
                                                {txt}Root MSE          =    {res} 10.091

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}allstuds_sum{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 21.67781{col 26}{space 2}  6.37602{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} 9.075132{col 67}{space 3}  34.2805
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4348341{col 26}{space 2} .7975349{col 37}{space 1}    0.55{col 46}{space 3}0.586{col 54}{space 4}-1.141554{col 67}{space 3} 2.011222
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds_sum 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 , vce(robust)
>                 ;

{txt}Linear regression                               Number of obs     = {res}        71
                                                {txt}{help j_robustsingular:F(6, 63) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4404
                                                {txt}Root MSE          =    {res} 9.9187

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          allstuds_sum{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 25.55115{col 36}{space 2}  7.55388{col 47}{space 1}    3.38{col 56}{space 3}0.001{col 64}{space 4} 10.45592{col 77}{space 3} 40.64637
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .4142915{col 36}{space 2} .7027636{col 47}{space 1}    0.59{col 56}{space 3}0.558{col 64}{space 4}-.9900696{col 77}{space 3} 1.818653
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-3.980149{col 36}{space 2} 2.776655{col 47}{space 1}   -1.43{col 56}{space 3}0.157{col 64}{space 4}-9.528851{col 77}{space 3} 1.568554
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} 5.233791{col 36}{space 2} 1.824691{col 47}{space 1}    2.87{col 56}{space 3}0.006{col 64}{space 4} 1.587437{col 77}{space 3} 8.880145
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} 1.427095{col 36}{space 2} 7.061949{col 47}{space 1}    0.20{col 56}{space 3}0.841{col 64}{space 4}-12.68508{col 77}{space 3} 15.53927
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-5.790846{col 36}{space 2} 3.415436{col 47}{space 1}   -1.70{col 56}{space 3}0.095{col 64}{space 4}-12.61605{col 77}{space 3} 1.034358
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .5197438{col 36}{space 2} 1.626027{col 47}{space 1}    0.32{col 56}{space 3}0.750{col 64}{space 4}-2.729611{col 77}{space 3} 3.769099
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 24.43578{col 36}{space 2} 20.30943{col 47}{space 1}    1.20{col 56}{space 3}0.233{col 64}{space 4}-16.14939{col 77}{space 3} 65.02094
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds_sum 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 , vce(robust)
>                 ;

{txt}Linear regression                               Number of obs     = {res}        71
                                                {txt}{help j_robustsingular:F(11, 58) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4519
                                                {txt}Root MSE          =    {res} 10.231

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          allstuds_sum{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 22.03529{col 36}{space 2} 7.616071{col 47}{space 1}    2.89{col 56}{space 3}0.005{col 64}{space 4} 6.790068{col 77}{space 3} 37.28051
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .3215524{col 36}{space 2}  .729528{col 47}{space 1}    0.44{col 56}{space 3}0.661{col 64}{space 4}-1.138757{col 77}{space 3} 1.781861
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-2.382748{col 36}{space 2} 2.117942{col 47}{space 1}   -1.13{col 56}{space 3}0.265{col 64}{space 4} -6.62227{col 77}{space 3} 1.856775
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} 4.877138{col 36}{space 2} 2.051545{col 47}{space 1}    2.38{col 56}{space 3}0.021{col 64}{space 4} .7705246{col 77}{space 3} 8.983752
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} .6978012{col 36}{space 2} 7.331214{col 47}{space 1}    0.10{col 56}{space 3}0.924{col 64}{space 4}-13.97722{col 77}{space 3} 15.37282
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-6.583763{col 36}{space 2} 6.123311{col 47}{space 1}   -1.08{col 56}{space 3}0.287{col 64}{space 4} -18.8409{col 77}{space 3} 5.673376
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .5792456{col 36}{space 2} 1.634081{col 47}{space 1}    0.35{col 56}{space 3}0.724{col 64}{space 4}-2.691722{col 77}{space 3} 3.850213
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-3.184731{col 36}{space 2} 7.350937{col 47}{space 1}   -0.43{col 56}{space 3}0.666{col 64}{space 4}-17.89923{col 77}{space 3} 11.52977
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-5.238307{col 36}{space 2} 3.793559{col 47}{space 1}   -1.38{col 56}{space 3}0.173{col 64}{space 4}-12.83194{col 77}{space 3} 2.355326
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-4.278042{col 36}{space 2} 3.734163{col 47}{space 1}   -1.15{col 56}{space 3}0.257{col 64}{space 4}-11.75278{col 77}{space 3} 3.196698
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-4.954162{col 36}{space 2} 4.262744{col 47}{space 1}   -1.16{col 56}{space 3}0.250{col 64}{space 4}-13.48697{col 77}{space 3} 3.578648
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-3.340078{col 36}{space 2} 5.106713{col 47}{space 1}   -0.65{col 56}{space 3}0.516{col 64}{space 4}-13.56227{col 77}{space 3} 6.882119
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 17.32277{col 36}{space 2} 16.03729{col 47}{space 1}    1.08{col 56}{space 3}0.285{col 64}{space 4}-14.77936{col 77}{space 3}  49.4249
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg allstuds_sum 
>                 l_v2x_libdem 
>                 , vce(robust)
>                 ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -905.8068}  
Iteration 1:{space 3}log pseudolikelihood = {res:-899.21204}  
Iteration 2:{space 3}log pseudolikelihood = {res:-899.20203}  
Iteration 3:{space 3}log pseudolikelihood = {res:-899.20203}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-385.47199}  
Iteration 1:{space 3}log pseudolikelihood = {res:-288.74868}  
Iteration 2:{space 3}log pseudolikelihood = {res:-288.09383}  
Iteration 3:{space 3}log pseudolikelihood = {res:-288.09247}  
Iteration 4:{space 3}log pseudolikelihood = {res:-288.09247}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-281.48235}  
Iteration 1:{space 3}log pseudolikelihood = {res:-281.23051}  
Iteration 2:{space 3}log pseudolikelihood = {res:-278.27111}  
Iteration 3:{space 3}log pseudolikelihood = {res:-278.25897}  
Iteration 4:{space 3}log pseudolikelihood = {res:-278.25897}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}       146
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     29.93
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-278.25897{txt}{col 49}Pseudo R2{col 67}= {res}    0.0341

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}allstuds_sum{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 4.612419{col 26}{space 2}   .84306{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} 2.960052{col 67}{space 3} 6.264787
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2047772{col 26}{space 2}  .267587{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.3196838{col 67}{space 3} .7292381
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} 1.697799{col 26}{space 2} .1717389{col 54}{space 4} 1.361197{col 67}{space 3} 2.034401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 5.461913{col 26}{space 2} .9380229{col 54}{space 4}  3.90086{col 67}{space 3} 7.647671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg allstuds_sum 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 , vce(robust)
>                 ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -308.6526}  
Iteration 1:{space 3}log pseudolikelihood = {res:-308.23426}  
Iteration 2:{space 3}log pseudolikelihood = {res:-308.23345}  
Iteration 3:{space 3}log pseudolikelihood = {res:-308.23345}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-216.62701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-190.31061}  
Iteration 2:{space 3}log pseudolikelihood = {res:-190.22191}  
Iteration 3:{space 3}log pseudolikelihood = {res:-190.22188}  
Iteration 4:{space 3}log pseudolikelihood = {res:-190.22188}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -181.1464}  
Iteration 1:{space 3}log pseudolikelihood = {res:-170.34363}  
Iteration 2:{space 3}log pseudolikelihood = {res:-168.58032}  
Iteration 3:{space 3}log pseudolikelihood = {res:-168.52098}  
Iteration 4:{space 3}log pseudolikelihood = {res:-168.52094}  
Iteration 5:{space 3}log pseudolikelihood = {res:-168.52094}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        71
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(6)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-168.52094{txt}{col 49}Pseudo R2{col 67}= {res}    0.1141

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          allstuds_sum{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  5.46553{col 36}{space 2} .9469373{col 47}{space 1}    5.77{col 56}{space 3}0.000{col 64}{space 4} 3.609567{col 77}{space 3} 7.321493
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0375154{col 36}{space 2} .1088819{col 47}{space 1}    0.34{col 56}{space 3}0.730{col 64}{space 4}-.1758893{col 77}{space 3}   .25092
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.6302203{col 36}{space 2} .2845063{col 47}{space 1}   -2.22{col 56}{space 3}0.027{col 64}{space 4}-1.187842{col 77}{space 3}-.0725981
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .7525015{col 36}{space 2} .1746729{col 47}{space 1}    4.31{col 56}{space 3}0.000{col 64}{space 4} .4101489{col 77}{space 3} 1.094854
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1513082{col 36}{space 2} .7680077{col 47}{space 1}   -0.20{col 56}{space 3}0.844{col 64}{space 4}-1.656576{col 77}{space 3} 1.353959
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.8008731{col 36}{space 2} .5023552{col 47}{space 1}   -1.59{col 56}{space 3}0.111{col 64}{space 4}-1.785471{col 77}{space 3}  .183725
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.6313646{col 36}{space 2} .2505494{col 47}{space 1}   -2.52{col 56}{space 3}0.012{col 64}{space 4}-1.122432{col 77}{space 3}-.1402968
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 3.435778{col 36}{space 2} 2.059688{col 47}{space 1}    1.67{col 56}{space 3}0.095{col 64}{space 4}-.6011371{col 77}{space 3} 7.472693
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2} .4085856{col 36}{space 2} .3096847{col 64}{space 4}-.1983852{col 77}{space 3} 1.015557
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} 1.504688{col 36}{space 2} .4659789{col 64}{space 4} .8200539{col 77}{space 3} 2.760899
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         nbreg allstuds_sum 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 , vce(robust)
>                 ;

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-276.28009}  
Iteration 1:{space 3}log pseudolikelihood = {res:-273.38274}  
Iteration 2:{space 3}log pseudolikelihood = {res:-273.02801}  
Iteration 3:{space 3}log pseudolikelihood = {res:-272.94216}  
Iteration 4:{space 3}log pseudolikelihood = {res: -272.9229}  
Iteration 5:{space 3}log pseudolikelihood = {res:-272.91872}  
Iteration 6:{space 3}log pseudolikelihood = {res:-272.91798}  
Iteration 7:{space 3}log pseudolikelihood = {res:-272.91791}  
Iteration 8:{space 3}log pseudolikelihood = {res:-272.91789}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-216.62701}  
Iteration 1:{space 3}log pseudolikelihood = {res:-190.31061}  
Iteration 2:{space 3}log pseudolikelihood = {res:-190.22191}  
Iteration 3:{space 3}log pseudolikelihood = {res:-190.22188}  
Iteration 4:{space 3}log pseudolikelihood = {res:-190.22188}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-184.52033}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-170.95715}  
Iteration 2:{space 3}log pseudolikelihood = {res:-165.51723}  
Iteration 3:{space 3}log pseudolikelihood = {res:-160.30543}  
Iteration 4:{space 3}log pseudolikelihood = {res:-159.92071}  
Iteration 5:{space 3}log pseudolikelihood = {res: -159.9187}  
Iteration 6:{space 3}log pseudolikelihood = {res:-159.91869}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        71
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(11)}{col 67}=          {res}.
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-159.91869{txt}{col 49}Pseudo R2{col 67}= {res}    0.1593

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          allstuds_sum{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 3.557696{col 36}{space 2} .9927055{col 47}{space 1}    3.58{col 56}{space 3}0.000{col 64}{space 4} 1.612029{col 77}{space 3} 5.503363
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0269083{col 36}{space 2} .0973528{col 47}{space 1}   -0.28{col 56}{space 3}0.782{col 64}{space 4}-.2177162{col 77}{space 3} .1638997
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} .2236469{col 36}{space 2} .3663579{col 47}{space 1}    0.61{col 56}{space 3}0.542{col 64}{space 4}-.4944014{col 77}{space 3} .9416951
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .8210932{col 36}{space 2} .2095418{col 47}{space 1}    3.92{col 56}{space 3}0.000{col 64}{space 4} .4103988{col 77}{space 3} 1.231788
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} .7965172{col 36}{space 2} .9140523{col 47}{space 1}    0.87{col 56}{space 3}0.384{col 64}{space 4}-.9949924{col 77}{space 3} 2.588027
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.7130833{col 36}{space 2} .7166838{col 47}{space 1}   -0.99{col 56}{space 3}0.320{col 64}{space 4}-2.117758{col 77}{space 3} .6915911
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} -.272455{col 36}{space 2} .2436183{col 47}{space 1}   -1.12{col 56}{space 3}0.263{col 64}{space 4}-.7499381{col 77}{space 3} .2050282
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} -1.22147{col 36}{space 2} .9997493{col 47}{space 1}   -1.22{col 56}{space 3}0.222{col 64}{space 4}-3.180942{col 77}{space 3} .7380027
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-2.434304{col 36}{space 2} .5327416{col 47}{space 1}   -4.57{col 56}{space 3}0.000{col 64}{space 4}-3.478458{col 77}{space 3} -1.39015
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.5264952{col 36}{space 2} .4431326{col 47}{space 1}   -1.19{col 56}{space 3}0.235{col 64}{space 4}-1.395019{col 77}{space 3} .3420287
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-17.11934{col 36}{space 2} .7331669{col 47}{space 1}  -23.35{col 56}{space 3}0.000{col 64}{space 4}-18.55632{col 77}{space 3}-15.68236
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-1.445477{col 36}{space 2} .5931881{col 47}{space 1}   -2.44{col 56}{space 3}0.015{col 64}{space 4}-2.608104{col 77}{space 3}-.2828497
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-1.524165{col 36}{space 2} 2.640022{col 47}{space 1}   -0.58{col 56}{space 3}0.564{col 64}{space 4}-6.698513{col 77}{space 3} 3.650183
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}/lnalpha {c |}{col 24}{res}{space 2} .1198504{col 36}{space 2} .3430627{col 64}{space 4}-.5525402{col 77}{space 3} .7922409
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 alpha {c |}{col 24}{res}{space 2} 1.127328{col 36}{space 2} .3867443{col 64}{space 4} .5754861{col 77}{space 3}  2.20834
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Restoring data
.         restore 
{txt}
{com}.         
.         
.         ****************************************************************************
.         *Table SM.3.2. Geographic distance, economic development, and applications
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 c.ln_disttous##c.l_ln_rgdpc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,750
                                                {txt}F(8, 132)         =  {res}     5.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1720
                                                {txt}Root MSE          =    {res} .38672

{txt}{ralign 92:(Std. Err. adjusted for {res:133} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              bin_allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}ln_disttous {c |}{col 28}{res}{space 2} -.404512{col 40}{space 2} .4305407{col 51}{space 1}   -0.94{col 60}{space 3}0.349{col 68}{space 4}-1.256164{col 81}{space 3} .4471401
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2}-.3952865{col 40}{space 2} .4831004{col 51}{space 1}   -0.82{col 60}{space 3}0.415{col 68}{space 4}-1.350907{col 81}{space 3} .5603338
{txt}{space 26} {c |}
c.ln_disttous#c.l_ln_rgdpc {c |}{col 28}{res}{space 2} .0514437{col 40}{space 2}    .0552{col 51}{space 1}    0.93{col 60}{space 3}0.353{col 68}{space 4}-.0577473{col 81}{space 3} .1606348
{txt}{space 26} {c |}
{space 17}region6_1 {c |}{col 28}{res}{space 2}-.3405672{col 40}{space 2} .1332028{col 51}{space 1}   -2.56{col 60}{space 3}0.012{col 68}{space 4}-.6040555{col 81}{space 3}-.0770788
{txt}{space 17}region6_2 {c |}{col 28}{res}{space 2}-.4553369{col 40}{space 2} .1460437{col 51}{space 1}   -3.12{col 60}{space 3}0.002{col 68}{space 4}-.7442258{col 81}{space 3} -.166448
{txt}{space 17}region6_3 {c |}{col 28}{res}{space 2} -.260761{col 40}{space 2} .1233124{col 51}{space 1}   -2.11{col 60}{space 3}0.036{col 68}{space 4} -.504685{col 81}{space 3}-.0168369
{txt}{space 17}region6_4 {c |}{col 28}{res}{space 2}-.3763807{col 40}{space 2} .0961776{col 51}{space 1}   -3.91{col 60}{space 3}0.000{col 68}{space 4}-.5666295{col 81}{space 3}-.1861319
{txt}{space 17}region6_5 {c |}{col 28}{res}{space 2}-.0970802{col 40}{space 2} .1591053{col 51}{space 1}   -0.61{col 60}{space 3}0.543{col 68}{space 4}-.4118062{col 81}{space 3} .2176457
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 3.594784{col 40}{space 2} 3.799066{col 51}{space 1}    0.95{col 60}{space 3}0.346{col 68}{space 4}-3.920143{col 81}{space 3} 11.10971
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 c.ln_disttous##c.l_ln_rgdpc
>                 l_ln_fuelpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(13, 120)        =  {res}     8.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2800
                                                {txt}Root MSE          =    {res} .36756

{txt}{ralign 92:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              bin_allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}ln_disttous {c |}{col 28}{res}{space 2}-.2714727{col 40}{space 2} .4520148{col 51}{space 1}   -0.60{col 60}{space 3}0.549{col 68}{space 4}-1.166431{col 81}{space 3} .6234851
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2}-.2340723{col 40}{space 2} .5356681{col 51}{space 1}   -0.44{col 60}{space 3}0.663{col 68}{space 4}-1.294658{col 81}{space 3} .8265133
{txt}{space 26} {c |}
c.ln_disttous#c.l_ln_rgdpc {c |}{col 28}{res}{space 2} .0357128{col 40}{space 2} .0597634{col 51}{space 1}    0.60{col 60}{space 3}0.551{col 68}{space 4}-.0826146{col 81}{space 3} .1540402
{txt}{space 26} {c |}
{space 15}l_ln_fuelpc {c |}{col 28}{res}{space 2}-.0135612{col 40}{space 2} .0124391{col 51}{space 1}   -1.09{col 60}{space 3}0.278{col 68}{space 4}-.0381897{col 81}{space 3} .0110673
{txt}{space 10}l_ln_milperratio {c |}{col 28}{res}{space 2} .1514287{col 40}{space 2} .0459565{col 51}{space 1}    3.30{col 60}{space 3}0.001{col 68}{space 4} .0604381{col 81}{space 3} .2424194
{txt}{space 14}l_marxinsurg {c |}{col 28}{res}{space 2}-.1192025{col 40}{space 2} .1308783{col 51}{space 1}   -0.91{col 60}{space 3}0.364{col 68}{space 4}-.3783323{col 81}{space 3} .1399274
{txt}{space 4}l_v2exl_legitideolcr_1 {c |}{col 28}{res}{space 2}-.0935486{col 40}{space 2} .1200112{col 51}{space 1}   -0.78{col 60}{space 3}0.437{col 68}{space 4}-.3311625{col 81}{space 3} .1440653
{txt}{space 17}l_hr_mean {c |}{col 28}{res}{space 2} .0131036{col 40}{space 2} .0232247{col 51}{space 1}    0.56{col 60}{space 3}0.574{col 68}{space 4}-.0328797{col 81}{space 3}  .059087
{txt}{space 17}region6_1 {c |}{col 28}{res}{space 2}-.3133812{col 40}{space 2} .1762848{col 51}{space 1}   -1.78{col 60}{space 3}0.078{col 68}{space 4}-.6624129{col 81}{space 3} .0356504
{txt}{space 17}region6_2 {c |}{col 28}{res}{space 2}-.3255652{col 40}{space 2} .1309263{col 51}{space 1}   -2.49{col 60}{space 3}0.014{col 68}{space 4}-.5847901{col 81}{space 3}-.0663403
{txt}{space 17}region6_3 {c |}{col 28}{res}{space 2}-.1631647{col 40}{space 2} .1189608{col 51}{space 1}   -1.37{col 60}{space 3}0.173{col 68}{space 4}-.3986988{col 81}{space 3} .0723695
{txt}{space 17}region6_4 {c |}{col 28}{res}{space 2}-.1820432{col 40}{space 2} .1125202{col 51}{space 1}   -1.62{col 60}{space 3}0.108{col 68}{space 4}-.4048254{col 81}{space 3} .0407391
{txt}{space 17}region6_5 {c |}{col 28}{res}{space 2}-.0759072{col 40}{space 2}  .139389{col 51}{space 1}   -0.54{col 60}{space 3}0.587{col 68}{space 4}-.3518877{col 81}{space 3} .2000733
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 2.065278{col 40}{space 2} 4.040931{col 51}{space 1}    0.51{col 60}{space 3}0.610{col 68}{space 4}-5.935484{col 81}{space 3} 10.06604
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 c.ln_disttous##c.l_ln_rgdpc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-953.88825}  
Iteration 1:{space 3}log pseudolikelihood = {res:-804.34112}  
Iteration 2:{space 3}log pseudolikelihood = {res:-788.69882}  
Iteration 3:{space 3}log pseudolikelihood = {res:-788.24134}  
Iteration 4:{space 3}log pseudolikelihood = {res:-788.24131}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,750
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     36.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-788.24131{txt}{col 49}Pseudo R2{col 67}= {res}    0.1737

{txt}{ralign 92:(Std. Err. adjusted for {res:133} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              bin_allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}ln_disttous {c |}{col 28}{res}{space 2}-1.867996{col 40}{space 2} 4.194487{col 51}{space 1}   -0.45{col 60}{space 3}0.656{col 68}{space 4}-10.08904{col 81}{space 3} 6.353047
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2}-1.692585{col 40}{space 2} 4.301482{col 51}{space 1}   -0.39{col 60}{space 3}0.694{col 68}{space 4}-10.12334{col 81}{space 3} 6.738165
{txt}{space 26} {c |}
c.ln_disttous#c.l_ln_rgdpc {c |}{col 28}{res}{space 2} .2377995{col 40}{space 2} .4761258{col 51}{space 1}    0.50{col 60}{space 3}0.617{col 68}{space 4}-.6953899{col 81}{space 3} 1.170989
{txt}{space 26} {c |}
{space 17}region6_1 {c |}{col 28}{res}{space 2}-1.865975{col 40}{space 2} .8678714{col 51}{space 1}   -2.15{col 60}{space 3}0.032{col 68}{space 4}-3.566972{col 81}{space 3}-.1649785
{txt}{space 17}region6_2 {c |}{col 28}{res}{space 2}-3.360225{col 40}{space 2} 1.363745{col 51}{space 1}   -2.46{col 60}{space 3}0.014{col 68}{space 4}-6.033116{col 81}{space 3} -.687335
{txt}{space 17}region6_3 {c |}{col 28}{res}{space 2}-1.355288{col 40}{space 2} .7136713{col 51}{space 1}   -1.90{col 60}{space 3}0.058{col 68}{space 4}-2.754058{col 81}{space 3} .0434824
{txt}{space 17}region6_4 {c |}{col 28}{res}{space 2}-2.666186{col 40}{space 2} .7330525{col 51}{space 1}   -3.64{col 60}{space 3}0.000{col 68}{space 4}-4.102942{col 81}{space 3}-1.229429
{txt}{space 17}region6_5 {c |}{col 28}{res}{space 2}-.7212243{col 40}{space 2} .8918989{col 51}{space 1}   -0.81{col 60}{space 3}0.419{col 68}{space 4}-2.469314{col 81}{space 3} 1.026865
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 13.38726{col 40}{space 2} 38.30637{col 51}{space 1}    0.35{col 60}{space 3}0.727{col 68}{space 4}-61.69186{col 81}{space 3} 88.46637
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 c.ln_disttous##c.l_ln_rgdpc
>                 l_ln_fuelpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-898.41663}  
Iteration 1:{space 3}log pseudolikelihood = {res:-679.00251}  
Iteration 2:{space 3}log pseudolikelihood = {res:-655.17329}  
Iteration 3:{space 3}log pseudolikelihood = {res:-653.97229}  
Iteration 4:{space 3}log pseudolikelihood = {res:-653.96446}  
Iteration 5:{space 3}log pseudolikelihood = {res:-653.96446}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     62.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-653.96446{txt}{col 49}Pseudo R2{col 67}= {res}    0.2721

{txt}{ralign 92:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}              bin_allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}ln_disttous {c |}{col 28}{res}{space 2} 3.454543{col 40}{space 2} 4.736002{col 51}{space 1}    0.73{col 60}{space 3}0.466{col 68}{space 4}-5.827851{col 81}{space 3} 12.73694
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2} 3.807262{col 40}{space 2} 4.966029{col 51}{space 1}    0.77{col 60}{space 3}0.443{col 68}{space 4}-5.925975{col 81}{space 3}  13.5405
{txt}{space 26} {c |}
c.ln_disttous#c.l_ln_rgdpc {c |}{col 28}{res}{space 2}-.3330116{col 40}{space 2} .5422047{col 51}{space 1}   -0.61{col 60}{space 3}0.539{col 68}{space 4}-1.395713{col 81}{space 3}   .72969
{txt}{space 26} {c |}
{space 15}l_ln_fuelpc {c |}{col 28}{res}{space 2}-.1037927{col 40}{space 2} .0895938{col 51}{space 1}   -1.16{col 60}{space 3}0.247{col 68}{space 4}-.2793932{col 81}{space 3} .0718079
{txt}{space 10}l_ln_milperratio {c |}{col 28}{res}{space 2} .8503354{col 40}{space 2} .2620857{col 51}{space 1}    3.24{col 60}{space 3}0.001{col 68}{space 4} .3366569{col 81}{space 3} 1.364014
{txt}{space 14}l_marxinsurg {c |}{col 28}{res}{space 2}-.9474824{col 40}{space 2}  .862114{col 51}{space 1}   -1.10{col 60}{space 3}0.272{col 68}{space 4}-2.637195{col 81}{space 3} .7422301
{txt}{space 4}l_v2exl_legitideolcr_1 {c |}{col 28}{res}{space 2}-.5818649{col 40}{space 2} .7242286{col 51}{space 1}   -0.80{col 60}{space 3}0.422{col 68}{space 4}-2.001327{col 81}{space 3} .8375971
{txt}{space 17}l_hr_mean {c |}{col 28}{res}{space 2} .0290204{col 40}{space 2} .1899218{col 51}{space 1}    0.15{col 60}{space 3}0.879{col 68}{space 4}-.3432194{col 81}{space 3} .4012602
{txt}{space 17}region6_1 {c |}{col 28}{res}{space 2} -1.45554{col 40}{space 2}  1.27166{col 51}{space 1}   -1.14{col 60}{space 3}0.252{col 68}{space 4}-3.947948{col 81}{space 3} 1.036867
{txt}{space 17}region6_2 {c |}{col 28}{res}{space 2}-2.129732{col 40}{space 2} 1.055935{col 51}{space 1}   -2.02{col 60}{space 3}0.044{col 68}{space 4}-4.199326{col 81}{space 3}-.0601367
{txt}{space 17}region6_3 {c |}{col 28}{res}{space 2}-.5371732{col 40}{space 2} .7102178{col 51}{space 1}   -0.76{col 60}{space 3}0.449{col 68}{space 4}-1.929175{col 81}{space 3} .8548281
{txt}{space 17}region6_4 {c |}{col 28}{res}{space 2}-1.177287{col 40}{space 2} .7839486{col 51}{space 1}   -1.50{col 60}{space 3}0.133{col 68}{space 4}-2.713798{col 81}{space 3} .3592242
{txt}{space 17}region6_5 {c |}{col 28}{res}{space 2} -.362583{col 40}{space 2} .8273176{col 51}{space 1}   -0.44{col 60}{space 3}0.661{col 68}{space 4}-1.984096{col 81}{space 3}  1.25893
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-38.76213{col 40}{space 2} 43.57222{col 51}{space 1}   -0.89{col 60}{space 3}0.374{col 68}{space 4}-124.1621{col 81}{space 3} 46.63786
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.3.3. Geographic distance, population size, and applications
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 c.ln_disttous##c.l_ln_pop
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,750
                                                {txt}F(8, 132)         =  {res}    10.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2810
                                                {txt}Root MSE          =    {res} .36038

{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in cowcode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            bin_allstuds{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      t{col 58}   P>|t|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_disttous {c |}{col 26}{res}{space 2}-.3158475{col 38}{space 2} .3264525{col 49}{space 1}   -0.97{col 58}{space 3}0.335{col 66}{space 4}-.9616029{col 79}{space 3} .3299078
{txt}{space 16}l_ln_pop {c |}{col 26}{res}{space 2}-.2473185{col 38}{space 2} .3360314{col 49}{space 1}   -0.74{col 58}{space 3}0.463{col 66}{space 4}-.9120219{col 79}{space 3} .4173849
{txt}{space 24} {c |}
c.ln_disttous#c.l_ln_pop {c |}{col 26}{res}{space 2} .0397392{col 38}{space 2} .0387311{col 49}{space 1}    1.03{col 58}{space 3}0.307{col 66}{space 4}-.0368748{col 79}{space 3} .1163533
{txt}{space 24} {c |}
{space 15}region6_1 {c |}{col 26}{res}{space 2}-.1612386{col 38}{space 2} .1203187{col 49}{space 1}   -1.34{col 58}{space 3}0.183{col 66}{space 4}-.3992408{col 79}{space 3} .0767637
{txt}{space 15}region6_2 {c |}{col 26}{res}{space 2}-.1545529{col 38}{space 2} .1261529{col 49}{space 1}   -1.23{col 58}{space 3}0.223{col 66}{space 4}-.4040959{col 79}{space 3}   .09499
{txt}{space 15}region6_3 {c |}{col 26}{res}{space 2} .0242622{col 38}{space 2} .0974772{col 49}{space 1}    0.25{col 58}{space 3}0.804{col 66}{space 4}-.1685574{col 79}{space 3} .2170818
{txt}{space 15}region6_4 {c |}{col 26}{res}{space 2}-.1381733{col 38}{space 2} .0874421{col 49}{space 1}   -1.58{col 58}{space 3}0.116{col 66}{space 4}-.3111424{col 79}{space 3} .0347958
{txt}{space 15}region6_5 {c |}{col 26}{res}{space 2} .2148654{col 38}{space 2} .1167081{col 49}{space 1}    1.84{col 58}{space 3}0.068{col 66}{space 4}-.0159949{col 79}{space 3} .4457256
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 2.113508{col 38}{space 2} 2.813402{col 49}{space 1}    0.75{col 58}{space 3}0.454{col 66}{space 4}-3.451679{col 79}{space 3} 7.678694
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg bin_allstuds 
>                 c.ln_disttous##c.l_ln_pop
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     8.49
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3110
                                                {txt}Root MSE          =    {res} .35968

{txt}{ralign 90:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            bin_allstuds{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      t{col 58}   P>|t|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_disttous {c |}{col 26}{res}{space 2} -.658803{col 38}{space 2}   .31744{col 49}{space 1}   -2.08{col 58}{space 3}0.040{col 66}{space 4}-1.287312{col 79}{space 3}-.0302939
{txt}{space 16}l_ln_pop {c |}{col 26}{res}{space 2} -.590355{col 38}{space 2} .3445496{col 49}{space 1}   -1.71{col 58}{space 3}0.089{col 66}{space 4}-1.272539{col 79}{space 3} .0918293
{txt}{space 24} {c |}
c.ln_disttous#c.l_ln_pop {c |}{col 26}{res}{space 2} .0758656{col 38}{space 2} .0390369{col 49}{space 1}    1.94{col 58}{space 3}0.054{col 66}{space 4}-.0014248{col 79}{space 3} .1531561
{txt}{space 24} {c |}
{space 13}l_ln_fuelpc {c |}{col 26}{res}{space 2}-.0197657{col 38}{space 2} .0117197{col 49}{space 1}   -1.69{col 58}{space 3}0.094{col 66}{space 4}-.0429698{col 79}{space 3} .0034384
{txt}{space 14}l_ln_rgdpc {c |}{col 26}{res}{space 2} .1134479{col 38}{space 2} .0450936{col 49}{space 1}    2.52{col 58}{space 3}0.013{col 66}{space 4} .0241657{col 79}{space 3} .2027301
{txt}{space 8}l_ln_milperratio {c |}{col 26}{res}{space 2} .0665894{col 38}{space 2} .0526713{col 49}{space 1}    1.26{col 58}{space 3}0.209{col 66}{space 4}-.0376961{col 79}{space 3}  .170875
{txt}{space 12}l_marxinsurg {c |}{col 26}{res}{space 2}-.0817582{col 38}{space 2} .0868142{col 49}{space 1}   -0.94{col 58}{space 3}0.348{col 66}{space 4}-.2536442{col 79}{space 3} .0901278
{txt}{space 2}l_v2exl_legitideolcr_1 {c |}{col 26}{res}{space 2}-.1516387{col 38}{space 2} .1060654{col 49}{space 1}   -1.43{col 58}{space 3}0.155{col 66}{space 4}-.3616409{col 79}{space 3} .0583635
{txt}{space 15}l_hr_mean {c |}{col 26}{res}{space 2} .0253785{col 38}{space 2} .0217065{col 49}{space 1}    1.17{col 58}{space 3}0.245{col 66}{space 4}-.0175989{col 79}{space 3} .0683559
{txt}{space 15}region6_1 {c |}{col 26}{res}{space 2}-.1261507{col 38}{space 2} .1583744{col 49}{space 1}   -0.80{col 58}{space 3}0.427{col 66}{space 4}-.4397209{col 79}{space 3} .1874195
{txt}{space 15}region6_2 {c |}{col 26}{res}{space 2}-.2840146{col 38}{space 2} .1364773{col 49}{space 1}   -2.08{col 58}{space 3}0.040{col 66}{space 4}-.5542301{col 79}{space 3} -.013799
{txt}{space 15}region6_3 {c |}{col 26}{res}{space 2}-.0453041{col 38}{space 2} .1086876{col 49}{space 1}   -0.42{col 58}{space 3}0.678{col 66}{space 4}-.2604981{col 79}{space 3} .1698898
{txt}{space 15}region6_4 {c |}{col 26}{res}{space 2}-.1107293{col 38}{space 2} .1109776{col 49}{space 1}   -1.00{col 58}{space 3}0.320{col 66}{space 4}-.3304574{col 79}{space 3} .1089987
{txt}{space 15}region6_5 {c |}{col 26}{res}{space 2}-.0046953{col 38}{space 2} .1365371{col 49}{space 1}   -0.03{col 58}{space 3}0.973{col 66}{space 4}-.2750292{col 79}{space 3} .2656386
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 4.557584{col 38}{space 2} 2.758067{col 49}{space 1}    1.65{col 58}{space 3}0.101{col 66}{space 4}-.9031963{col 79}{space 3} 10.01837
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 c.ln_disttous##c.l_ln_pop
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-953.88825}  
Iteration 1:{space 3}log pseudolikelihood = {res:-709.81017}  
Iteration 2:{space 3}log pseudolikelihood = {res:-677.50598}  
Iteration 3:{space 3}log pseudolikelihood = {res: -675.7677}  
Iteration 4:{space 3}log pseudolikelihood = {res:-675.75608}  
Iteration 5:{space 3}log pseudolikelihood = {res:-675.75608}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,750
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     62.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-675.75608{txt}{col 49}Pseudo R2{col 67}= {res}    0.2916

{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in cowcode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            bin_allstuds{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_disttous {c |}{col 26}{res}{space 2} 2.958973{col 38}{space 2} 3.831019{col 49}{space 1}    0.77{col 58}{space 3}0.440{col 66}{space 4}-4.549686{col 79}{space 3} 10.46763
{txt}{space 16}l_ln_pop {c |}{col 26}{res}{space 2} 3.131868{col 38}{space 2} 3.506494{col 49}{space 1}    0.89{col 58}{space 3}0.372{col 66}{space 4}-3.740734{col 79}{space 3} 10.00447
{txt}{space 24} {c |}
c.ln_disttous#c.l_ln_pop {c |}{col 26}{res}{space 2}-.2563008{col 38}{space 2} .3970556{col 49}{space 1}   -0.65{col 58}{space 3}0.519{col 66}{space 4}-1.034516{col 79}{space 3}  .521914
{txt}{space 24} {c |}
{space 15}region6_1 {c |}{col 26}{res}{space 2}-.9904332{col 38}{space 2} .9280743{col 49}{space 1}   -1.07{col 58}{space 3}0.286{col 66}{space 4}-2.809425{col 79}{space 3}  .828559
{txt}{space 15}region6_2 {c |}{col 26}{res}{space 2}-1.475824{col 38}{space 2} .7924381{col 49}{space 1}   -1.86{col 58}{space 3}0.063{col 66}{space 4}-3.028974{col 79}{space 3} .0773266
{txt}{space 15}region6_3 {c |}{col 26}{res}{space 2} .3321327{col 38}{space 2} .5265104{col 49}{space 1}    0.63{col 58}{space 3}0.528{col 66}{space 4}-.6998088{col 79}{space 3} 1.364074
{txt}{space 15}region6_4 {c |}{col 26}{res}{space 2}-1.399248{col 38}{space 2} .6741696{col 49}{space 1}   -2.08{col 58}{space 3}0.038{col 66}{space 4}-2.720596{col 79}{space 3}-.0779003
{txt}{space 15}region6_5 {c |}{col 26}{res}{space 2} 1.357811{col 38}{space 2} .6677917{col 49}{space 1}    2.03{col 58}{space 3}0.042{col 66}{space 4}  .048963{col 79}{space 3} 2.666659
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-35.48109{col 38}{space 2}    33.96{col 49}{space 1}   -1.04{col 58}{space 3}0.296{col 66}{space 4}-102.0415{col 79}{space 3} 31.07929
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         logit bin_allstuds 
>                 c.ln_disttous##c.l_ln_pop
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-898.41663}  
Iteration 1:{space 3}log pseudolikelihood = {res:-652.60841}  
Iteration 2:{space 3}log pseudolikelihood = {res:-622.62776}  
Iteration 3:{space 3}log pseudolikelihood = {res:-620.98894}  
Iteration 4:{space 3}log pseudolikelihood = {res:-620.97765}  
Iteration 5:{space 3}log pseudolikelihood = {res:-620.97765}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,607
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     81.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-620.97765{txt}{col 49}Pseudo R2{col 67}= {res}    0.3088

{txt}{ralign 90:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}            bin_allstuds{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_disttous {c |}{col 26}{res}{space 2} .2771615{col 38}{space 2} 3.598987{col 49}{space 1}    0.08{col 58}{space 3}0.939{col 66}{space 4}-6.776724{col 79}{space 3} 7.331047
{txt}{space 16}l_ln_pop {c |}{col 26}{res}{space 2} .6413126{col 38}{space 2} 3.461848{col 49}{space 1}    0.19{col 58}{space 3}0.853{col 66}{space 4}-6.143785{col 79}{space 3}  7.42641
{txt}{space 24} {c |}
c.ln_disttous#c.l_ln_pop {c |}{col 26}{res}{space 2}   .01951{col 38}{space 2} .3787613{col 49}{space 1}    0.05{col 58}{space 3}0.959{col 66}{space 4}-.7228485{col 79}{space 3} .7618685
{txt}{space 24} {c |}
{space 13}l_ln_fuelpc {c |}{col 26}{res}{space 2}-.1712946{col 38}{space 2} .0983924{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4}-.3641401{col 79}{space 3} .0215509
{txt}{space 14}l_ln_rgdpc {c |}{col 26}{res}{space 2} .9633001{col 38}{space 2} .3506688{col 49}{space 1}    2.75{col 58}{space 3}0.006{col 66}{space 4} .2760017{col 79}{space 3} 1.650598
{txt}{space 8}l_ln_milperratio {c |}{col 26}{res}{space 2} .1789973{col 38}{space 2} .3312138{col 49}{space 1}    0.54{col 58}{space 3}0.589{col 66}{space 4}-.4701698{col 79}{space 3} .8281643
{txt}{space 12}l_marxinsurg {c |}{col 26}{res}{space 2}-.4324788{col 38}{space 2} .6585052{col 49}{space 1}   -0.66{col 58}{space 3}0.511{col 66}{space 4}-1.723125{col 79}{space 3} .8581677
{txt}{space 2}l_v2exl_legitideolcr_1 {c |}{col 26}{res}{space 2}-.7874135{col 38}{space 2} .7944879{col 49}{space 1}   -0.99{col 58}{space 3}0.322{col 66}{space 4}-2.344581{col 79}{space 3} .7697542
{txt}{space 15}l_hr_mean {c |}{col 26}{res}{space 2} .1145998{col 38}{space 2} .1809962{col 49}{space 1}    0.63{col 58}{space 3}0.527{col 66}{space 4}-.2401463{col 79}{space 3} .4693458
{txt}{space 15}region6_1 {c |}{col 26}{res}{space 2}-.8709354{col 38}{space 2}  1.30204{col 49}{space 1}   -0.67{col 58}{space 3}0.504{col 66}{space 4}-3.422888{col 79}{space 3} 1.681017
{txt}{space 15}region6_2 {c |}{col 26}{res}{space 2}-2.502778{col 38}{space 2} .8618094{col 49}{space 1}   -2.90{col 58}{space 3}0.004{col 66}{space 4}-4.191893{col 79}{space 3}-.8136623
{txt}{space 15}region6_3 {c |}{col 26}{res}{space 2}-.1026985{col 38}{space 2} .6008563{col 49}{space 1}   -0.17{col 58}{space 3}0.864{col 66}{space 4}-1.280355{col 79}{space 3} 1.074958
{txt}{space 15}region6_4 {c |}{col 26}{res}{space 2}-1.305494{col 38}{space 2}  .798397{col 49}{space 1}   -1.64{col 58}{space 3}0.102{col 66}{space 4}-2.870323{col 79}{space 3} .2593352
{txt}{space 15}region6_5 {c |}{col 26}{res}{space 2}-.3556398{col 38}{space 2} .8417266{col 49}{space 1}   -0.42{col 58}{space 3}0.673{col 66}{space 4}-2.005394{col 79}{space 3} 1.294114
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-17.85179{col 38}{space 2} 32.97233{col 49}{space 1}   -0.54{col 58}{space 3}0.588{col 66}{space 4}-82.47636{col 79}{space 3} 46.77279
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.3.4. Two-stage selection process
.         ****************************************************************************
.         
.         *Generating binary dependent variable for selection stage
.         gen allstuds_posint=allstuds if bin_allstuds==1
{txt}(2,275 missing values generated)

{com}.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         heckman allstuds_posint 
>                 l_v2x_libdem 
>                 if sample==1
>                 , 
>                 select(
>                 bin_allstuds =
>                 ln_disttous
>                 )
>                 vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1739.3026}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res: -1715.854}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1702.8653}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1687.0046}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1684.4077}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1684.3889}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1684.3886}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1684.3886}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     2,541
{txt}(regression model with sample selection)              Selected    = {res}       419
                                                {txt}      Nonselected = {res}     2,122

                                                {txt}Wald chi2({res}1{txt})      =  {res}     7.63
{txt}Log pseudolikelihood = {res}-1684.389                {txt}Prob > chi2       =     {res}0.0057

{txt}{ralign 81:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}allstuds_posint {txt}{c |}
{space 3}l_v2x_libdem {c |}{col 17}{res}{space 2} 1.376251{col 29}{space 2} .4981876{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .3998207{col 70}{space 3}  2.35268
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.370624{col 29}{space 2} .3449695{col 40}{space 1}    3.97{col 49}{space 3}0.000{col 57}{space 4}  .694496{col 70}{space 3} 2.046751
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}bin_allstuds    {txt}{c |}
{space 4}ln_disttous {c |}{col 17}{res}{space 2} .1988592{col 29}{space 2} .1695438{col 40}{space 1}    1.17{col 49}{space 3}0.241{col 57}{space 4}-.1334405{col 70}{space 3}  .531159
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.771685{col 29}{space 2} 1.535268{col 40}{space 1}   -1.81{col 49}{space 3}0.071{col 57}{space 4}-5.780756{col 70}{space 3} .2373856
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/athrho {c |}{col 17}{res}{space 2}-.2233549{col 29}{space 2} .2145544{col 40}{space 1}   -1.04{col 49}{space 3}0.298{col 57}{space 4}-.6438738{col 70}{space 3}  .197164
{txt}{space 7}/lnsigma {c |}{col 17}{res}{space 2}-.0828728{col 29}{space 2} .0973518{col 40}{space 1}   -0.85{col 49}{space 3}0.395{col 57}{space 4}-.2736789{col 70}{space 3} .1079334
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            rho {c |}{col 17}{res}{space 2}-.2197134{col 29}{space 2}  .204197{col 57}{space 4}-.5675314{col 70}{space 3} .1946482
{txt}          sigma {c |}{col 17}{res}{space 2} .9204683{col 29}{space 2} .0896093{col 57}{space 4} .7605763{col 70}{space 3} 1.113974
{txt}         lambda {c |}{col 17}{res}{space 2}-.2022392{col 29}{space 2} .1991167{col 57}{space 4}-.5925008{col 70}{space 3} .1880225
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    1.08   {txt}Prob > chi2 = {res}0.2979
{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         heckman allstuds_posint 
>                 l_v2x_libdem    
>                 if sample==1
>                 , 
>                 select(
>                 bin_allstuds =
>                 ln_disttous
>                 region6_1-region6_5             
>                 )
>                 vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1469.6506}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1469.0472}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1469.0467}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1469.0467}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     2,541
{txt}(regression model with sample selection)              Selected    = {res}       419
                                                {txt}      Nonselected = {res}     2,122

                                                {txt}Wald chi2({res}1{txt})      =  {res}     5.06
{txt}Log pseudolikelihood = {res}-1469.047                {txt}Prob > chi2       =     {res}0.0245

{txt}{ralign 81:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}allstuds_posint {txt}{c |}
{space 3}l_v2x_libdem {c |}{col 17}{res}{space 2} 1.052268{col 29}{space 2} .4678985{col 40}{space 1}    2.25{col 49}{space 3}0.025{col 57}{space 4} .1352038{col 70}{space 3} 1.969332
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.725568{col 29}{space 2} .2804195{col 40}{space 1}    6.15{col 49}{space 3}0.000{col 57}{space 4} 1.175956{col 70}{space 3}  2.27518
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}bin_allstuds    {txt}{c |}
{space 4}ln_disttous {c |}{col 17}{res}{space 2} .0304971{col 29}{space 2}   .32705{col 40}{space 1}    0.09{col 49}{space 3}0.926{col 57}{space 4}-.6105092{col 70}{space 3} .6715033
{txt}{space 6}region6_1 {c |}{col 17}{res}{space 2} -.516011{col 29}{space 2}  .420112{col 40}{space 1}   -1.23{col 49}{space 3}0.219{col 57}{space 4}-1.339415{col 70}{space 3} .3073934
{txt}{space 6}region6_2 {c |}{col 17}{res}{space 2}-1.344684{col 29}{space 2} .5583356{col 40}{space 1}   -2.41{col 49}{space 3}0.016{col 57}{space 4}-2.439001{col 70}{space 3} -.250366
{txt}{space 6}region6_3 {c |}{col 17}{res}{space 2}-.5408297{col 29}{space 2} .3332072{col 40}{space 1}   -1.62{col 49}{space 3}0.105{col 57}{space 4}-1.193904{col 70}{space 3} .1122444
{txt}{space 6}region6_4 {c |}{col 17}{res}{space 2}-1.438984{col 29}{space 2} .2929506{col 40}{space 1}   -4.91{col 49}{space 3}0.000{col 57}{space 4}-2.013156{col 70}{space 3} -.864811
{txt}{space 6}region6_5 {c |}{col 17}{res}{space 2} .2670709{col 29}{space 2} .4148455{col 40}{space 1}    0.64{col 49}{space 3}0.520{col 57}{space 4}-.5460114{col 70}{space 3} 1.080153
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -.748285{col 29}{space 2} 3.139296{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4}-6.901193{col 70}{space 3} 5.404623
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}/athrho {c |}{col 17}{res}{space 2}-.4791362{col 29}{space 2} .1675506{col 40}{space 1}   -2.86{col 49}{space 3}0.004{col 57}{space 4}-.8075292{col 70}{space 3}-.1507431
{txt}{space 7}/lnsigma {c |}{col 17}{res}{space 2}-.0354153{col 29}{space 2} .0983994{col 40}{space 1}   -0.36{col 49}{space 3}0.719{col 57}{space 4}-.2282747{col 70}{space 3} .1574441
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            rho {c |}{col 17}{res}{space 2}-.4455515{col 29}{space 2} .1342891{col 57}{space 4} -.668225{col 70}{space 3}-.1496116
{txt}          sigma {c |}{col 17}{res}{space 2} .9652045{col 29}{space 2} .0949756{col 57}{space 4} .7959056{col 70}{space 3} 1.170515
{txt}         lambda {c |}{col 17}{res}{space 2}-.4300483{col 29}{space 2} .1572931{col 57}{space 4}-.7383371{col 70}{space 3}-.1217595
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    8.18   {txt}Prob > chi2 = {res}0.0042
{txt}
{com}.         #delimit cr              
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         heckman allstuds_posint 
>                 l_v2x_libdem 
>                 if sample==1
>                 , 
>                 select(
>                 bin_allstuds =
>                 ln_disttous
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 )
>                 vce(cluster cowcode)
>                 ;
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1142.7125}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1133.9302}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1133.8501}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -1133.85}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     1,607
{txt}(regression model with sample selection)              Selected    = {res}       397
                                                {txt}      Nonselected = {res}     1,210

                                                {txt}Wald chi2({res}1{txt})      =  {res}     3.93
{txt}Log pseudolikelihood = {res} -1133.85                {txt}Prob > chi2       =     {res}0.0475

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}allstuds_posint        {txt}{c |}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} .8817798{col 36}{space 2}   .44491{col 47}{space 1}    1.98{col 56}{space 3}0.047{col 64}{space 4} .0097722{col 77}{space 3} 1.753787
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 1.934527{col 36}{space 2} .2881066{col 47}{space 1}    6.71{col 56}{space 3}0.000{col 64}{space 4} 1.369848{col 77}{space 3} 2.499205
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}bin_allstuds           {txt}{c |}
{space 11}ln_disttous {c |}{col 24}{res}{space 2}  .190561{col 36}{space 2} .3356951{col 47}{space 1}    0.57{col 56}{space 3}0.570{col 64}{space 4}-.4673892{col 77}{space 3} .8485112
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} -.015594{col 36}{space 2} .0484322{col 47}{space 1}   -0.32{col 56}{space 3}0.747{col 64}{space 4}-.1105193{col 77}{space 3} .0793314
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} .2777211{col 36}{space 2} .1880705{col 47}{space 1}    1.48{col 56}{space 3}0.140{col 64}{space 4}-.0908903{col 77}{space 3} .6463325
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .541846{col 36}{space 2} .1410069{col 47}{space 1}    3.84{col 56}{space 3}0.000{col 64}{space 4} .2654776{col 77}{space 3} .8182145
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3210809{col 36}{space 2} .4404522{col 47}{space 1}   -0.73{col 56}{space 3}0.466{col 64}{space 4}-1.184351{col 77}{space 3} .5421894
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4148602{col 36}{space 2} .3756093{col 47}{space 1}   -1.10{col 56}{space 3}0.269{col 64}{space 4}-1.151041{col 77}{space 3} .3213204
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .0265906{col 36}{space 2} .1079187{col 47}{space 1}    0.25{col 56}{space 3}0.805{col 64}{space 4}-.1849261{col 77}{space 3} .2381073
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.9733876{col 36}{space 2} .5897575{col 47}{space 1}   -1.65{col 56}{space 3}0.099{col 64}{space 4}-2.129291{col 77}{space 3} .1825158
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-1.389392{col 36}{space 2} .4875166{col 47}{space 1}   -2.85{col 56}{space 3}0.004{col 64}{space 4}-2.344907{col 77}{space 3}-.4338767
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.6171421{col 36}{space 2} .3558756{col 47}{space 1}   -1.73{col 56}{space 3}0.083{col 64}{space 4}-1.314645{col 77}{space 3} .0803613
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.6072384{col 36}{space 2} .3941836{col 47}{space 1}   -1.54{col 56}{space 3}0.123{col 64}{space 4}-1.379824{col 77}{space 3} .1653473
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3137935{col 36}{space 2} .5009783{col 47}{space 1}   -0.63{col 56}{space 3}0.531{col 64}{space 4}-1.295693{col 77}{space 3}  .668106
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.641264{col 36}{space 2} 3.519564{col 47}{space 1}   -1.32{col 56}{space 3}0.187{col 64}{space 4}-11.53948{col 77}{space 3} 2.256954
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}/athrho {c |}{col 24}{res}{space 2}-.9229079{col 36}{space 2} .2317109{col 47}{space 1}   -3.98{col 56}{space 3}0.000{col 64}{space 4}-1.377053{col 77}{space 3}-.4687628
{txt}{space 14}/lnsigma {c |}{col 24}{res}{space 2} .0119082{col 36}{space 2} .1098254{col 47}{space 1}    0.11{col 56}{space 3}0.914{col 64}{space 4}-.2033457{col 77}{space 3} .2271621
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   rho {c |}{col 24}{res}{space 2}-.7272701{col 36}{space 2} .1091539{col 64}{space 4}-.8802896{col 77}{space 3}-.4371992
{txt}                 sigma {c |}{col 24}{res}{space 2} 1.011979{col 36}{space 2} .1111411{col 64}{space 4} .8159961{col 77}{space 3} 1.255033
{txt}                lambda {c |}{col 24}{res}{space 2}-.7359824{col 36}{space 2}  .180956{col 64}{space 4} -1.09065{col 77}{space 3} -.381315
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}   15.86   {txt}Prob > chi2 = {res}0.0001
{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.3.5. Excluding core communist regimes
.         ****************************************************************************    
.                 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 if sample==1 & cowcode!=710, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,487
                                                {txt}F(1, 146)         =  {res}    12.61
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1658
                                                {txt}Root MSE          =    {res}  .6658

{txt}{ralign 78:(Std. Err. adjusted for {res:147} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.293989{col 26}{space 2} .3644027{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .5738036{col 67}{space 3} 2.014175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0113788{col 26}{space 2} .0492906{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4} -.108794{col 67}{space 3} .0860365
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1 & cowcode!=710, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     5.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4364
                                                {txt}Root MSE          =    {res} .63889

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.638385{col 36}{space 2} .3866472{col 47}{space 1}    4.24{col 56}{space 3}0.000{col 64}{space 4} .8727848{col 77}{space 3} 2.403985
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0033348{col 36}{space 2} .0252515{col 47}{space 1}   -0.13{col 56}{space 3}0.895{col 64}{space 4}-.0533353{col 77}{space 3} .0466657
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0973153{col 36}{space 2}  .075708{col 47}{space 1}   -1.29{col 56}{space 3}0.201{col 64}{space 4}-.2472246{col 77}{space 3} .0525941
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4014968{col 36}{space 2} .1041958{col 47}{space 1}    3.85{col 56}{space 3}0.000{col 64}{space 4} .1951786{col 77}{space 3} .6078149
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3534952{col 36}{space 2} .1766882{col 47}{space 1}   -2.00{col 56}{space 3}0.048{col 64}{space 4}-.7033555{col 77}{space 3}-.0036349
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.3524124{col 36}{space 2} .1979453{col 47}{space 1}   -1.78{col 56}{space 3}0.078{col 64}{space 4}-.7443639{col 77}{space 3}  .039539
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} -.036272{col 36}{space 2} .0505711{col 47}{space 1}   -0.72{col 56}{space 3}0.475{col 64}{space 4}-.1364079{col 77}{space 3} .0638639
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.2703813{col 36}{space 2} .2749332{col 47}{space 1}   -0.98{col 56}{space 3}0.327{col 64}{space 4}-.8147765{col 77}{space 3} .2740138
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3196284{col 36}{space 2} .2077778{col 47}{space 1}   -1.54{col 56}{space 3}0.127{col 64}{space 4}-.7310492{col 77}{space 3} .0917925
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2178881{col 36}{space 2} .1989343{col 47}{space 1}   -1.10{col 56}{space 3}0.276{col 64}{space 4}-.6117979{col 77}{space 3} .1760216
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0999236{col 36}{space 2}  .209592{col 47}{space 1}   -0.48{col 56}{space 3}0.634{col 64}{space 4}-.5149366{col 77}{space 3} .3150895
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3221623{col 36}{space 2}   .30266{col 47}{space 1}   -1.06{col 56}{space 3}0.289{col 64}{space 4}-.9214593{col 77}{space 3} .2771347
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6124496{col 36}{space 2} .5649204{col 47}{space 1}    1.08{col 56}{space 3}0.280{col 64}{space 4}-.5061491{col 77}{space 3} 1.731048
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 if sample==1 &  
>                 cowcode!=365
>                 , vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,487
                                                {txt}F(1, 146)         =  {res}    12.61
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1658
                                                {txt}Root MSE          =    {res}  .6658

{txt}{ralign 78:(Std. Err. adjusted for {res:147} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2}   1.2942{col 26}{space 2} .3644969{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .5738278{col 67}{space 3} 2.014572
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0114865{col 26}{space 2} .0493258{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-.1089714{col 67}{space 3} .0859984
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 4        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1 & cowcode!=365, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     5.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4323
                                                {txt}Root MSE          =    {res}  .6412

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.712677{col 36}{space 2} .4000826{col 47}{space 1}    4.28{col 56}{space 3}0.000{col 64}{space 4} .9204739{col 77}{space 3} 2.504881
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0156593{col 36}{space 2} .0240596{col 47}{space 1}   -0.65{col 56}{space 3}0.516{col 64}{space 4}-.0632997{col 77}{space 3} .0319811
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0472574{col 36}{space 2} .0770949{col 47}{space 1}   -0.61{col 56}{space 3}0.541{col 64}{space 4}-.1999131{col 77}{space 3} .1053983
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4132975{col 36}{space 2} .1021141{col 47}{space 1}    4.05{col 56}{space 3}0.000{col 64}{space 4} .2111015{col 77}{space 3} .6154936
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2281208{col 36}{space 2} .1682037{col 47}{space 1}   -1.36{col 56}{space 3}0.178{col 64}{space 4}-.5611808{col 77}{space 3} .1049393
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5130867{col 36}{space 2}  .219295{col 47}{space 1}   -2.34{col 56}{space 3}0.021{col 64}{space 4}-.9473127{col 77}{space 3}-.0788606
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0434936{col 36}{space 2} .0467954{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.1361532{col 77}{space 3}  .049166
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .0976973{col 36}{space 2} .2604082{col 47}{space 1}    0.38{col 56}{space 3}0.708{col 64}{space 4}-.4179368{col 77}{space 3} .6133315
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2724004{col 36}{space 2} .2013763{col 47}{space 1}   -1.35{col 56}{space 3}0.179{col 64}{space 4}-.6711457{col 77}{space 3} .1263449
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1435526{col 36}{space 2} .1975763{col 47}{space 1}   -0.73{col 56}{space 3}0.469{col 64}{space 4}-.5347733{col 77}{space 3} .2476681
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} .0188231{col 36}{space 2}  .191221{col 47}{space 1}    0.10{col 56}{space 3}0.922{col 64}{space 4}-.3598136{col 77}{space 3} .3974599
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3234014{col 36}{space 2} .3010666{col 47}{space 1}   -1.07{col 56}{space 3}0.285{col 64}{space 4}-.9195433{col 77}{space 3} .2727405
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .1780941{col 36}{space 2} .5396555{col 47}{space 1}    0.33{col 56}{space 3}0.742{col 64}{space 4}-.8904776{col 77}{space 3} 1.246666
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 if sample==1 & cowcode!=731, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,487
                                                {txt}F(1, 146)         =  {res}    12.61
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1658
                                                {txt}Root MSE          =    {res}  .6658

{txt}{ralign 78:(Std. Err. adjusted for {res:147} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.294345{col 26}{space 2} .3645605{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .5738471{col 67}{space 3} 2.014842
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0115586{col 26}{space 2} .0493491{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-.1090895{col 67}{space 3} .0859724
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 6        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1 & cowcode!=731, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,588
                                                {txt}F(12, 119)        =  {res}     4.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4110
                                                {txt}Root MSE          =    {res} .65314

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.682242{col 36}{space 2} .4109865{col 47}{space 1}    4.09{col 56}{space 3}0.000{col 64}{space 4} .8684478{col 77}{space 3} 2.496036
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0002031{col 36}{space 2} .0252034{col 47}{space 1}    0.01{col 56}{space 3}0.994{col 64}{space 4} -.049702{col 77}{space 3} .0501083
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0782856{col 36}{space 2} .0802429{col 47}{space 1}   -0.98{col 56}{space 3}0.331{col 64}{space 4}-.2371745{col 77}{space 3} .0806033
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3414282{col 36}{space 2} .1022002{col 47}{space 1}    3.34{col 56}{space 3}0.001{col 64}{space 4} .1390615{col 77}{space 3} .5437948
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.3221447{col 36}{space 2} .1882718{col 47}{space 1}   -1.71{col 56}{space 3}0.090{col 64}{space 4}-.6949416{col 77}{space 3} .0506523
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4439322{col 36}{space 2} .2393763{col 47}{space 1}   -1.85{col 56}{space 3}0.066{col 64}{space 4}-.9179211{col 77}{space 3} .0300567
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0481218{col 36}{space 2} .0494166{col 47}{space 1}   -0.97{col 56}{space 3}0.332{col 64}{space 4}-.1459716{col 77}{space 3}  .049728
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.1525625{col 36}{space 2} .3224515{col 47}{space 1}   -0.47{col 56}{space 3}0.637{col 64}{space 4}-.7910487{col 77}{space 3} .4859236
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3639088{col 36}{space 2} .2034008{col 47}{space 1}   -1.79{col 56}{space 3}0.076{col 64}{space 4}-.7666628{col 77}{space 3} .0388451
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2305105{col 36}{space 2} .1963138{col 47}{space 1}   -1.17{col 56}{space 3}0.243{col 64}{space 4}-.6192314{col 77}{space 3} .1582104
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1236124{col 36}{space 2} .2079756{col 47}{space 1}   -0.59{col 56}{space 3}0.553{col 64}{space 4}-.5354249{col 77}{space 3} .2882002
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3315195{col 36}{space 2} .3096939{col 47}{space 1}   -1.07{col 56}{space 3}0.287{col 64}{space 4}-.9447444{col 77}{space 3} .2817054
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .5324465{col 36}{space 2}  .592575{col 47}{space 1}    0.90{col 56}{space 3}0.371{col 64}{space 4}-.6409112{col 77}{space 3} 1.705804
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}. 
.         *Model 7
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 if sample==1 & comreg!=1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,273
                                                {txt}F(1, 136)         =  {res}    12.55
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.1693
                                                {txt}Root MSE          =    {res}  .6821

{txt}{ralign 78:(Std. Err. adjusted for {res:137} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.312144{col 26}{space 2} .3703519{col 37}{space 1}    3.54{col 46}{space 3}0.001{col 54}{space 4} .5797504{col 67}{space 3} 2.044537
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0231296{col 26}{space 2} .0527053{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-.1273577{col 67}{space 3} .0810984
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 8        
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1 & comreg!=1, vce(cluster cowcode)
>                 ;
{txt}note: region6_1 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,375
                                                {txt}F(11, 107)        =  {res}     6.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4953
                                                {txt}Root MSE          =    {res} .63272

{txt}{ralign 88:(Std. Err. adjusted for {res:108} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.663316{col 36}{space 2}  .393491{col 47}{space 1}    4.23{col 56}{space 3}0.000{col 64}{space 4}  .883266{col 77}{space 3} 2.443366
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0012962{col 36}{space 2} .0253322{col 47}{space 1}   -0.05{col 56}{space 3}0.959{col 64}{space 4}-.0515144{col 77}{space 3}  .048922
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1110182{col 36}{space 2} .0812835{col 47}{space 1}   -1.37{col 56}{space 3}0.175{col 64}{space 4}-.2721533{col 77}{space 3} .0501168
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4966606{col 36}{space 2} .0983117{col 47}{space 1}    5.05{col 56}{space 3}0.000{col 64}{space 4}  .301769{col 77}{space 3} .6915522
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} -.467251{col 36}{space 2} .1796043{col 47}{space 1}   -2.60{col 56}{space 3}0.011{col 64}{space 4}-.8232955{col 77}{space 3}-.1112065
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.2736062{col 36}{space 2} .2230304{col 47}{space 1}   -1.23{col 56}{space 3}0.223{col 64}{space 4}-.7157379{col 77}{space 3} .1685254
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0882365{col 36}{space 2} .0474721{col 47}{space 1}   -1.86{col 56}{space 3}0.066{col 64}{space 4}-.1823443{col 77}{space 3} .0058713
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2308921{col 36}{space 2}  .216217{col 47}{space 1}   -1.07{col 56}{space 3}0.288{col 64}{space 4}-.6595171{col 77}{space 3} .1977328
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1983762{col 36}{space 2} .2130699{col 47}{space 1}   -0.93{col 56}{space 3}0.354{col 64}{space 4}-.6207623{col 77}{space 3}   .22401
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0123648{col 36}{space 2} .2008916{col 47}{space 1}   -0.06{col 56}{space 3}0.951{col 64}{space 4} -.410609{col 77}{space 3} .3858794
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2965742{col 36}{space 2} .2998118{col 47}{space 1}   -0.99{col 56}{space 3}0.325{col 64}{space 4}-.8909161{col 77}{space 3} .2977676
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .5520142{col 36}{space 2}  .559452{col 47}{space 1}    0.99{col 56}{space 3}0.326{col 64}{space 4}-.5570342{col 77}{space 3} 1.661063
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.                 
.         ****************************************************************************
.         *Table SM.3.6. Controlling for regimes without communist ideology
.         ****************************************************************************    
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_noncomreg
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,436
                                                {txt}F(2, 143)         =  {res}     6.38
                                                {txt}Prob > F          = {res}    0.0022
                                                {txt}R-squared         = {res}    0.1656
                                                {txt}Root MSE          =    {res} .67196

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2x_libdem {c |}{col 14}{res}{space 2} 1.312405{col 26}{space 2} .3686807{col 37}{space 1}    3.56{col 46}{space 3}0.001{col 54}{space 4} .5836364{col 67}{space 3} 2.041173
{txt}{space 1}l_noncomreg {c |}{col 14}{res}{space 2}-.0918403{col 26}{space 2} .0809899{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-.2519324{col 67}{space 3} .0682517
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0712112{col 26}{space 2}  .076449{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4} -.079905{col 67}{space 3} .2223274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_noncomreg
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,591
                                                {txt}F(7, 119)         =  {res}     5.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3996
                                                {txt}Root MSE          =    {res} .65789

{txt}{ralign 82:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}        allstuds{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}l_v2x_libdem {c |}{col 18}{res}{space 2} 1.486429{col 30}{space 2} .3450956{col 41}{space 1}    4.31{col 50}{space 3}0.000{col 58}{space 4} .8031056{col 71}{space 3} 2.169753
{txt}{space 5}l_noncomreg {c |}{col 18}{res}{space 2} .4546843{col 30}{space 2} .1546131{col 41}{space 1}    2.94{col 50}{space 3}0.004{col 58}{space 4} .1485349{col 71}{space 3} .7608337
{txt}{space 5}l_ln_fuelpc {c |}{col 18}{res}{space 2} .0051008{col 30}{space 2}  .022741{col 41}{space 1}    0.22{col 50}{space 3}0.823{col 58}{space 4}-.0399287{col 71}{space 3} .0501304
{txt}{space 6}l_ln_rgdpc {c |}{col 18}{res}{space 2}-.1595813{col 30}{space 2} .0803992{col 41}{space 1}   -1.98{col 50}{space 3}0.049{col 58}{space 4}-.3187798{col 71}{space 3}-.0003828
{txt}l_ln_milperratio {c |}{col 18}{res}{space 2} .3887107{col 30}{space 2} .0845301{col 41}{space 1}    4.60{col 50}{space 3}0.000{col 58}{space 4} .2213326{col 71}{space 3} .5560888
{txt}{space 4}l_marxinsurg {c |}{col 18}{res}{space 2}-.3385963{col 30}{space 2} .1354976{col 41}{space 1}   -2.50{col 50}{space 3}0.014{col 58}{space 4} -.606895{col 71}{space 3}-.0702976
{txt}{space 7}l_hr_mean {c |}{col 18}{res}{space 2}-.0260016{col 30}{space 2} .0480051{col 41}{space 1}   -0.54{col 50}{space 3}0.589{col 58}{space 4}-.1210565{col 71}{space 3} .0690534
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .4292404{col 30}{space 2} .5922168{col 41}{space 1}    0.72{col 50}{space 3}0.470{col 58}{space 4}-.7434081{col 71}{space 3} 1.601889
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}. 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_noncomreg
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,591
                                                {txt}F(12, 119)        =  {res}     4.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4176
                                                {txt}Root MSE          =    {res} .64899

{txt}{ralign 82:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}        allstuds{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}l_v2x_libdem {c |}{col 18}{res}{space 2} 1.459599{col 30}{space 2} .3615095{col 41}{space 1}    4.04{col 50}{space 3}0.000{col 58}{space 4}  .743774{col 71}{space 3} 2.175424
{txt}{space 5}l_noncomreg {c |}{col 18}{res}{space 2} .7142534{col 30}{space 2} .3011203{col 41}{space 1}    2.37{col 50}{space 3}0.019{col 58}{space 4}  .118005{col 71}{space 3} 1.310502
{txt}{space 5}l_ln_fuelpc {c |}{col 18}{res}{space 2}-.0043561{col 30}{space 2} .0245916{col 41}{space 1}   -0.18{col 50}{space 3}0.860{col 58}{space 4}  -.05305{col 71}{space 3} .0443378
{txt}{space 6}l_ln_rgdpc {c |}{col 18}{res}{space 2}-.0350209{col 30}{space 2} .0826854{col 41}{space 1}   -0.42{col 50}{space 3}0.673{col 58}{space 4}-.1987463{col 71}{space 3} .1287044
{txt}l_ln_milperratio {c |}{col 18}{res}{space 2} .3663141{col 30}{space 2} .1015586{col 41}{space 1}    3.61{col 50}{space 3}0.000{col 58}{space 4} .1652178{col 71}{space 3} .5674103
{txt}{space 4}l_marxinsurg {c |}{col 18}{res}{space 2}-.4505047{col 30}{space 2}  .180202{col 41}{space 1}   -2.50{col 50}{space 3}0.014{col 58}{space 4}-.8073227{col 71}{space 3}-.0936867
{txt}{space 7}l_hr_mean {c |}{col 18}{res}{space 2}-.0409225{col 30}{space 2}  .046507{col 41}{space 1}   -0.88{col 50}{space 3}0.381{col 58}{space 4} -.133011{col 71}{space 3} .0511659
{txt}{space 7}region6_1 {c |}{col 18}{res}{space 2} .0988297{col 30}{space 2} .3745863{col 41}{space 1}    0.26{col 50}{space 3}0.792{col 58}{space 4}-.6428885{col 71}{space 3} .8405479
{txt}{space 7}region6_2 {c |}{col 18}{res}{space 2}-.3845015{col 30}{space 2}  .210722{col 41}{space 1}   -1.82{col 50}{space 3}0.071{col 58}{space 4}-.8017521{col 71}{space 3} .0327491
{txt}{space 7}region6_3 {c |}{col 18}{res}{space 2}-.3063414{col 30}{space 2} .1939677{col 41}{space 1}   -1.58{col 50}{space 3}0.117{col 58}{space 4}-.6904169{col 71}{space 3} .0777342
{txt}{space 7}region6_4 {c |}{col 18}{res}{space 2}-.1232905{col 30}{space 2}   .21162{col 41}{space 1}   -0.58{col 50}{space 3}0.561{col 58}{space 4}-.5423192{col 71}{space 3} .2957383
{txt}{space 7}region6_5 {c |}{col 18}{res}{space 2}-.3904926{col 30}{space 2}  .318715{col 41}{space 1}   -1.23{col 50}{space 3}0.223{col 58}{space 4} -1.02158{col 71}{space 3}  .240595
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-.5048057{col 30}{space 2} .7276259{col 41}{space 1}   -0.69{col 50}{space 3}0.489{col 58}{space 4}-1.945578{col 71}{space 3} .9359661
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.3.7. Ideologies across regimes
.         ****************************************************************************
.         
.         *Generating interactions
.         gen l_v2x_libdem_X_l_leader_right = l_v2x_libdem * l_leader_right
{txt}(931 missing values generated)

{com}.         gen l_v2x_libdem_X_l_leader_centrist = l_v2x_libdem * l_leader_centrist
{txt}(931 missing values generated)

{com}.                 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_right
>                 l_v2x_libdem_X_l_leader_right           
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,689
                                                {txt}F(3, 129)         =  {res}     4.21
                                                {txt}Prob > F          = {res}    0.0071
                                                {txt}R-squared         = {res}    0.1651
                                                {txt}Root MSE          =    {res} .77333

{txt}{ralign 95:(Std. Err. adjusted for {res:130} clusters in cowcode)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                     allstuds{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}l_v2x_libdem {c |}{col 31}{res}{space 2} .9164804{col 43}{space 2} .3167303{col 54}{space 1}    2.89{col 63}{space 3}0.004{col 71}{space 4} .2898217{col 84}{space 3} 1.543139
{txt}{space 15}l_leader_right {c |}{col 31}{res}{space 2} -.091269{col 43}{space 2} .0985985{col 54}{space 1}   -0.93{col 63}{space 3}0.356{col 71}{space 4}-.2863486{col 84}{space 3} .1038105
{txt}l_v2x_libdem_X_l_leader_right {c |}{col 31}{res}{space 2}   .76496{col 43}{space 2} .6577319{col 54}{space 1}    1.16{col 63}{space 3}0.247{col 71}{space 4}-.5363787{col 84}{space 3} 2.066299
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .0986841{col 43}{space 2} .0598211{col 54}{space 1}    1.65{col 63}{space 3}0.101{col 71}{space 4}-.0196735{col 84}{space 3} .2170417
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_right
>                 l_v2x_libdem_X_l_leader_right 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,537
                                                {txt}F(14, 119)        =  {res}     5.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4141
                                                {txt}Root MSE          =    {res} .65965

{txt}{ralign 95:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                     allstuds{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}l_v2x_libdem {c |}{col 31}{res}{space 2} 1.708421{col 43}{space 2} .4371972{col 54}{space 1}    3.91{col 63}{space 3}0.000{col 71}{space 4}  .842727{col 84}{space 3} 2.574115
{txt}{space 15}l_leader_right {c |}{col 31}{res}{space 2} .0740025{col 43}{space 2} .1171549{col 54}{space 1}    0.63{col 63}{space 3}0.529{col 71}{space 4}-.1579759{col 84}{space 3} .3059808
{txt}l_v2x_libdem_X_l_leader_right {c |}{col 31}{res}{space 2} .1639505{col 43}{space 2} .5172431{col 54}{space 1}    0.32{col 63}{space 3}0.752{col 71}{space 4}-.8602425{col 84}{space 3} 1.188143
{txt}{space 18}l_ln_fuelpc {c |}{col 31}{res}{space 2}-.0040757{col 43}{space 2}  .026011{col 54}{space 1}   -0.16{col 63}{space 3}0.876{col 71}{space 4}-.0555799{col 84}{space 3} .0474286
{txt}{space 19}l_ln_rgdpc {c |}{col 31}{res}{space 2}-.0810832{col 43}{space 2} .0827946{col 54}{space 1}   -0.98{col 63}{space 3}0.329{col 71}{space 4}-.2450249{col 84}{space 3} .0828584
{txt}{space 13}l_ln_milperratio {c |}{col 31}{res}{space 2} .3463632{col 43}{space 2} .1038364{col 54}{space 1}    3.34{col 63}{space 3}0.001{col 71}{space 4} .1407567{col 84}{space 3} .5519698
{txt}{space 17}l_marxinsurg {c |}{col 31}{res}{space 2}-.2839788{col 43}{space 2} .1810386{col 54}{space 1}   -1.57{col 63}{space 3}0.119{col 71}{space 4}-.6424533{col 84}{space 3} .0744957
{txt}{space 7}l_v2exl_legitideolcr_1 {c |}{col 31}{res}{space 2}-.4215605{col 43}{space 2}  .237021{col 54}{space 1}   -1.78{col 63}{space 3}0.078{col 71}{space 4}-.8908857{col 84}{space 3} .0477646
{txt}{space 20}l_hr_mean {c |}{col 31}{res}{space 2}-.0442947{col 43}{space 2} .0508268{col 54}{space 1}   -0.87{col 63}{space 3}0.385{col 71}{space 4}-.1449369{col 84}{space 3} .0563474
{txt}{space 20}region6_1 {c |}{col 31}{res}{space 2}-.0717189{col 43}{space 2}  .291151{col 54}{space 1}   -0.25{col 63}{space 3}0.806{col 71}{space 4}-.6482269{col 84}{space 3} .5047892
{txt}{space 20}region6_2 {c |}{col 31}{res}{space 2}-.3362994{col 43}{space 2} .2033523{col 54}{space 1}   -1.65{col 63}{space 3}0.101{col 71}{space 4}-.7389573{col 84}{space 3} .0663585
{txt}{space 20}region6_3 {c |}{col 31}{res}{space 2}-.1889384{col 43}{space 2} .1983534{col 54}{space 1}   -0.95{col 63}{space 3}0.343{col 71}{space 4}-.5816978{col 84}{space 3} .2038211
{txt}{space 20}region6_4 {c |}{col 31}{res}{space 2}-.1023992{col 43}{space 2} .2087864{col 54}{space 1}   -0.49{col 63}{space 3}0.625{col 71}{space 4}-.5158171{col 84}{space 3} .3110187
{txt}{space 20}region6_5 {c |}{col 31}{res}{space 2}-.3460858{col 43}{space 2}  .308634{col 54}{space 1}   -1.12{col 63}{space 3}0.264{col 71}{space 4}-.9572119{col 84}{space 3} .2650403
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .4617827{col 43}{space 2}  .618978{col 54}{space 1}    0.75{col 63}{space 3}0.457{col 71}{space 4}-.7638556{col 84}{space 3} 1.687421
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_centrist
>                 l_v2x_libdem_X_l_leader_centrist                
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,689
                                                {txt}F(3, 129)         =  {res}     4.27
                                                {txt}Prob > F          = {res}    0.0066
                                                {txt}R-squared         = {res}    0.1595
                                                {txt}Root MSE          =    {res} .77594

{txt}{ralign 98:(Std. Err. adjusted for {res:130} clusters in cowcode)}
{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}    Robust
{col 1}                        allstuds{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}l_v2x_libdem {c |}{col 34}{res}{space 2} 1.383219{col 46}{space 2} .4459877{col 57}{space 1}    3.10{col 66}{space 3}0.002{col 74}{space 4} .5008217{col 87}{space 3} 2.265617
{txt}{space 15}l_leader_centrist {c |}{col 34}{res}{space 2} .7292853{col 46}{space 2} .4966525{col 57}{space 1}    1.47{col 66}{space 3}0.144{col 74}{space 4}-.2533538{col 87}{space 3} 1.711924
{txt}l_v2x_libdem_X_l_leader_centrist {c |}{col 34}{res}{space 2}-1.443167{col 46}{space 2} .9196922{col 57}{space 1}   -1.57{col 66}{space 3}0.119{col 74}{space 4}  -3.2628{col 87}{space 3}  .376467
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .0287802{col 46}{space 2} .0641496{col 57}{space 1}    0.45{col 66}{space 3}0.654{col 74}{space 4}-.0981414{col 87}{space 3} .1557018
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_centrist
>                 l_v2x_libdem_X_l_leader_centrist 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,537
                                                {txt}F(14, 119)        =  {res}     4.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4183
                                                {txt}Root MSE          =    {res} .65728

{txt}{ralign 98:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}    Robust
{col 1}                        allstuds{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}l_v2x_libdem {c |}{col 34}{res}{space 2} 1.770627{col 46}{space 2} .4232774{col 57}{space 1}    4.18{col 66}{space 3}0.000{col 74}{space 4}  .932495{col 87}{space 3} 2.608758
{txt}{space 15}l_leader_centrist {c |}{col 34}{res}{space 2}   .63221{col 46}{space 2} .3675282{col 57}{space 1}    1.72{col 66}{space 3}0.088{col 74}{space 4}-.0955325{col 87}{space 3} 1.359953
{txt}l_v2x_libdem_X_l_leader_centrist {c |}{col 34}{res}{space 2}-1.260288{col 46}{space 2} .7969867{col 57}{space 1}   -1.58{col 66}{space 3}0.116{col 74}{space 4}-2.838401{col 87}{space 3} .3178253
{txt}{space 21}l_ln_fuelpc {c |}{col 34}{res}{space 2} -.005178{col 46}{space 2} .0258862{col 57}{space 1}   -0.20{col 66}{space 3}0.842{col 74}{space 4}-.0564353{col 87}{space 3} .0460793
{txt}{space 22}l_ln_rgdpc {c |}{col 34}{res}{space 2}-.0763042{col 46}{space 2} .0830274{col 57}{space 1}   -0.92{col 66}{space 3}0.360{col 74}{space 4}-.2407067{col 87}{space 3} .0880983
{txt}{space 16}l_ln_milperratio {c |}{col 34}{res}{space 2} .3487493{col 46}{space 2} .1023817{col 57}{space 1}    3.41{col 66}{space 3}0.001{col 74}{space 4} .1460234{col 87}{space 3} .5514753
{txt}{space 20}l_marxinsurg {c |}{col 34}{res}{space 2} -.262712{col 46}{space 2} .1715569{col 57}{space 1}   -1.53{col 66}{space 3}0.128{col 74}{space 4}-.6024118{col 87}{space 3} .0769877
{txt}{space 10}l_v2exl_legitideolcr_1 {c |}{col 34}{res}{space 2}-.5137985{col 46}{space 2} .2118747{col 57}{space 1}   -2.43{col 66}{space 3}0.017{col 74}{space 4}-.9333315{col 87}{space 3}-.0942655
{txt}{space 23}l_hr_mean {c |}{col 34}{res}{space 2}-.0415443{col 46}{space 2} .0505073{col 57}{space 1}   -0.82{col 66}{space 3}0.412{col 74}{space 4}-.1415538{col 87}{space 3} .0584652
{txt}{space 23}region6_1 {c |}{col 34}{res}{space 2}-.0420606{col 46}{space 2} .2819563{col 57}{space 1}   -0.15{col 66}{space 3}0.882{col 74}{space 4}-.6003622{col 87}{space 3}  .516241
{txt}{space 23}region6_2 {c |}{col 34}{res}{space 2}-.3557651{col 46}{space 2} .2019486{col 57}{space 1}   -1.76{col 66}{space 3}0.081{col 74}{space 4}-.7556434{col 87}{space 3} .0441132
{txt}{space 23}region6_3 {c |}{col 34}{res}{space 2}-.1962631{col 46}{space 2} .1972571{col 57}{space 1}   -0.99{col 66}{space 3}0.322{col 74}{space 4}-.5868518{col 87}{space 3} .1943255
{txt}{space 23}region6_4 {c |}{col 34}{res}{space 2}-.0847391{col 46}{space 2} .2024841{col 57}{space 1}   -0.42{col 66}{space 3}0.676{col 74}{space 4}-.4856779{col 87}{space 3} .3161997
{txt}{space 23}region6_5 {c |}{col 34}{res}{space 2}-.2793447{col 46}{space 2}   .30727{col 57}{space 1}   -0.91{col 66}{space 3}0.365{col 74}{space 4}-.8877699{col 87}{space 3} .3290805
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}  .480361{col 46}{space 2} .6126798{col 57}{space 1}    0.78{col 66}{space 3}0.435{col 74}{space 4}-.7328061{col 87}{space 3} 1.693528
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}. 
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_right
>                 l_leader_centrist
>                 l_v2x_libdem_X_l_leader_right   
>                 l_v2x_libdem_X_l_leader_centrist                
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,689
                                                {txt}F(5, 129)         =  {res}     3.19
                                                {txt}Prob > F          = {res}    0.0095
                                                {txt}R-squared         = {res}    0.1731
                                                {txt}Root MSE          =    {res} .77007

{txt}{ralign 98:(Std. Err. adjusted for {res:130} clusters in cowcode)}
{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}    Robust
{col 1}                        allstuds{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}l_v2x_libdem {c |}{col 34}{res}{space 2} .9559984{col 46}{space 2} .3365736{col 57}{space 1}    2.84{col 66}{space 3}0.005{col 74}{space 4} .2900792{col 87}{space 3} 1.621918
{txt}{space 18}l_leader_right {c |}{col 34}{res}{space 2} -.057275{col 46}{space 2}  .101741{col 57}{space 1}   -0.56{col 66}{space 3}0.574{col 74}{space 4}-.2585722{col 87}{space 3} .1440221
{txt}{space 15}l_leader_centrist {c |}{col 34}{res}{space 2} .6933754{col 46}{space 2} .5077907{col 57}{space 1}    1.37{col 66}{space 3}0.174{col 74}{space 4} -.311301{col 87}{space 3} 1.698052
{txt}{space 3}l_v2x_libdem_X_l_leader_right {c |}{col 34}{res}{space 2} .7254421{col 46}{space 2} .6631192{col 57}{space 1}    1.09{col 66}{space 3}0.276{col 74}{space 4}-.5865556{col 87}{space 3}  2.03744
{txt}l_v2x_libdem_X_l_leader_centrist {c |}{col 34}{res}{space 2}-1.015946{col 46}{space 2} .8959302{col 57}{space 1}   -1.13{col 66}{space 3}0.259{col 74}{space 4}-2.788565{col 87}{space 3} .7566742
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .0646901{col 46}{space 2} .0524663{col 57}{space 1}    1.23{col 66}{space 3}0.220{col 74}{space 4}-.0391157{col 87}{space 3}  .168496
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_leader_right
>                 l_leader_centrist
>                 l_v2x_libdem_X_l_leader_right   
>                 l_v2x_libdem_X_l_leader_centrist 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,537
                                                {txt}F(16, 119)        =  {res}     4.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4223
                                                {txt}Root MSE          =    {res} .65541

{txt}{ralign 98:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}    Robust
{col 1}                        allstuds{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}l_v2x_libdem {c |}{col 34}{res}{space 2} 1.849675{col 46}{space 2} .4443675{col 57}{space 1}    4.16{col 66}{space 3}0.000{col 74}{space 4} .9697834{col 87}{space 3} 2.729568
{txt}{space 18}l_leader_right {c |}{col 34}{res}{space 2} .1537524{col 46}{space 2} .1231731{col 57}{space 1}    1.25{col 66}{space 3}0.214{col 74}{space 4}-.0901426{col 87}{space 3} .3976474
{txt}{space 15}l_leader_centrist {c |}{col 34}{res}{space 2}  .734151{col 46}{space 2}  .382707{col 57}{space 1}    1.92{col 66}{space 3}0.057{col 74}{space 4} -.023647{col 87}{space 3} 1.491949
{txt}{space 3}l_v2x_libdem_X_l_leader_right {c |}{col 34}{res}{space 2} .0046582{col 46}{space 2} .4955194{col 57}{space 1}    0.01{col 66}{space 3}0.993{col 74}{space 4}-.9765197{col 87}{space 3} .9858361
{txt}l_v2x_libdem_X_l_leader_centrist {c |}{col 34}{res}{space 2}-1.236292{col 46}{space 2} .7760107{col 57}{space 1}   -1.59{col 66}{space 3}0.114{col 74}{space 4}-2.772871{col 87}{space 3} .3002866
{txt}{space 21}l_ln_fuelpc {c |}{col 34}{res}{space 2}-.0038519{col 46}{space 2} .0255123{col 57}{space 1}   -0.15{col 66}{space 3}0.880{col 74}{space 4}-.0543688{col 87}{space 3} .0466649
{txt}{space 22}l_ln_rgdpc {c |}{col 34}{res}{space 2}-.0887133{col 46}{space 2} .0832072{col 57}{space 1}   -1.07{col 66}{space 3}0.289{col 74}{space 4}-.2534719{col 87}{space 3} .0760454
{txt}{space 16}l_ln_milperratio {c |}{col 34}{res}{space 2} .3471946{col 46}{space 2} .1023798{col 57}{space 1}    3.39{col 66}{space 3}0.001{col 74}{space 4} .1444724{col 87}{space 3} .5499169
{txt}{space 20}l_marxinsurg {c |}{col 34}{res}{space 2}-.2656601{col 46}{space 2} .1760566{col 57}{space 1}   -1.51{col 66}{space 3}0.134{col 74}{space 4}-.6142697{col 87}{space 3} .0829495
{txt}{space 10}l_v2exl_legitideolcr_1 {c |}{col 34}{res}{space 2}-.3837995{col 46}{space 2} .2132018{col 57}{space 1}   -1.80{col 66}{space 3}0.074{col 74}{space 4}-.8059603{col 87}{space 3} .0383612
{txt}{space 23}l_hr_mean {c |}{col 34}{res}{space 2}-.0438405{col 46}{space 2} .0502031{col 57}{space 1}   -0.87{col 66}{space 3}0.384{col 74}{space 4}-.1432476{col 87}{space 3} .0555666
{txt}{space 23}region6_1 {c |}{col 34}{res}{space 2}-.0301437{col 46}{space 2} .2861389{col 57}{space 1}   -0.11{col 66}{space 3}0.916{col 74}{space 4}-.5967273{col 87}{space 3} .5364398
{txt}{space 23}region6_2 {c |}{col 34}{res}{space 2}-.3459561{col 46}{space 2} .1977626{col 57}{space 1}   -1.75{col 66}{space 3}0.083{col 74}{space 4}-.7375457{col 87}{space 3} .0456336
{txt}{space 23}region6_3 {c |}{col 34}{res}{space 2}-.1818866{col 46}{space 2} .1921969{col 57}{space 1}   -0.95{col 66}{space 3}0.346{col 74}{space 4}-.5624556{col 87}{space 3} .1986824
{txt}{space 23}region6_4 {c |}{col 34}{res}{space 2}-.0844123{col 46}{space 2} .2014746{col 57}{space 1}   -0.42{col 66}{space 3}0.676{col 74}{space 4} -.483352{col 87}{space 3} .3145275
{txt}{space 23}region6_5 {c |}{col 34}{res}{space 2}-.3171715{col 46}{space 2} .3050123{col 57}{space 1}   -1.04{col 66}{space 3}0.301{col 74}{space 4}-.9211263{col 87}{space 3} .2867833
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .4336049{col 46}{space 2} .6083542{col 57}{space 1}    0.71{col 66}{space 3}0.477{col 74}{space 4}-.7709972{col 87}{space 3} 1.638207
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.3.8. Country’s pre-existing relations with the United States
.         ****************************************************************************
.                 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_us_fpsim_inv  
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,317
                                                {txt}F(13, 114)        =  {res}     6.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4495
                                                {txt}Root MSE          =    {res} .60257

{txt}{ralign 88:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.288038{col 36}{space 2} .3232416{col 47}{space 1}    3.98{col 56}{space 3}0.000{col 64}{space 4} .6476984{col 77}{space 3} 1.928377
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0024508{col 36}{space 2} .0220811{col 47}{space 1}    0.11{col 56}{space 3}0.912{col 64}{space 4}-.0412916{col 77}{space 3} .0461932
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0927167{col 36}{space 2} .0723899{col 47}{space 1}   -1.28{col 56}{space 3}0.203{col 64}{space 4}-.2361206{col 77}{space 3} .0506872
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4039476{col 36}{space 2} .1186787{col 47}{space 1}    3.40{col 56}{space 3}0.001{col 64}{space 4}  .168846{col 77}{space 3} .6390491
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.5724117{col 36}{space 2} .2022457{col 47}{space 1}   -2.83{col 56}{space 3}0.005{col 64}{space 4} -.973059{col 77}{space 3}-.1717644
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.0376192{col 36}{space 2} .1790129{col 47}{space 1}   -0.21{col 56}{space 3}0.834{col 64}{space 4}-.3922425{col 77}{space 3}  .317004
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0445502{col 36}{space 2} .0469012{col 47}{space 1}   -0.95{col 56}{space 3}0.344{col 64}{space 4}-.1374611{col 77}{space 3} .0483607
{txt}{space 8}l_us_fpsim_inv {c |}{col 24}{res}{space 2} .0003769{col 36}{space 2} .0393276{col 47}{space 1}    0.01{col 56}{space 3}0.992{col 64}{space 4}-.0775307{col 77}{space 3} .0782845
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.8182697{col 36}{space 2} .2648096{col 47}{space 1}   -3.09{col 56}{space 3}0.003{col 64}{space 4}-1.342855{col 77}{space 3} -.293684
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4623922{col 36}{space 2} .2207455{col 47}{space 1}   -2.09{col 56}{space 3}0.038{col 64}{space 4}-.8996873{col 77}{space 3}-.0250971
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.4221394{col 36}{space 2} .1961197{col 47}{space 1}   -2.15{col 56}{space 3}0.033{col 64}{space 4}-.8106511{col 77}{space 3}-.0336277
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.3011267{col 36}{space 2} .2302238{col 47}{space 1}   -1.31{col 56}{space 3}0.194{col 64}{space 4}-.7571984{col 77}{space 3} .1549449
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4554585{col 36}{space 2} .2755595{col 47}{space 1}   -1.65{col 56}{space 3}0.101{col 64}{space 4} -1.00134{col 77}{space 3} .0904228
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .7425925{col 36}{space 2}  .569133{col 47}{space 1}    1.30{col 56}{space 3}0.195{col 64}{space 4}-.3848556{col 77}{space 3} 1.870041
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l2_us_fpsim_inv 
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,259
                                                {txt}F(13, 114)        =  {res}     6.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4512
                                                {txt}Root MSE          =    {res} .61083

{txt}{ralign 88:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.322925{col 36}{space 2} .3326952{col 47}{space 1}    3.98{col 56}{space 3}0.000{col 64}{space 4} .6638579{col 77}{space 3} 1.981991
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}  .003967{col 36}{space 2} .0232389{col 47}{space 1}    0.17{col 56}{space 3}0.865{col 64}{space 4}-.0420691{col 77}{space 3} .0500032
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0907496{col 36}{space 2} .0754466{col 47}{space 1}   -1.20{col 56}{space 3}0.232{col 64}{space 4}-.2402087{col 77}{space 3} .0587096
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3927639{col 36}{space 2} .1226373{col 47}{space 1}    3.20{col 56}{space 3}0.002{col 64}{space 4} .1498203{col 77}{space 3} .6357076
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.5997691{col 36}{space 2} .2116644{col 47}{space 1}   -2.83{col 56}{space 3}0.005{col 64}{space 4}-1.019075{col 77}{space 3}-.1804636
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.0038255{col 36}{space 2} .1926254{col 47}{space 1}   -0.02{col 56}{space 3}0.984{col 64}{space 4} -.385415{col 77}{space 3}  .377764
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0599845{col 36}{space 2} .0498421{col 47}{space 1}   -1.20{col 56}{space 3}0.231{col 64}{space 4}-.1587213{col 77}{space 3} .0387524
{txt}{space 7}l2_us_fpsim_inv {c |}{col 24}{res}{space 2} .0100775{col 36}{space 2} .0479575{col 47}{space 1}    0.21{col 56}{space 3}0.834{col 64}{space 4} -.084926{col 77}{space 3}  .105081
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.8431502{col 36}{space 2} .2735612{col 47}{space 1}   -3.08{col 56}{space 3}0.003{col 64}{space 4}-1.385073{col 77}{space 3}-.3012276
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4774786{col 36}{space 2} .2319553{col 47}{space 1}   -2.06{col 56}{space 3}0.042{col 64}{space 4}-.9369803{col 77}{space 3}-.0179768
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.4356954{col 36}{space 2} .2051902{col 47}{space 1}   -2.12{col 56}{space 3}0.036{col 64}{space 4}-.8421757{col 77}{space 3}-.0292151
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -.320257{col 36}{space 2} .2409069{col 47}{space 1}   -1.33{col 56}{space 3}0.186{col 64}{space 4}-.7974918{col 77}{space 3} .1569777
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4588288{col 36}{space 2} .2841387{col 47}{space 1}   -1.61{col 56}{space 3}0.109{col 64}{space 4}-1.021705{col 77}{space 3} .1040477
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6941432{col 36}{space 2} .5856656{col 47}{space 1}    1.19{col 56}{space 3}0.238{col 64}{space 4}-.4660559{col 77}{space 3} 1.854342
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_c_totdyadtraperc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,605
                                                {txt}F(13, 120)        =  {res}     4.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4093
                                                {txt}Root MSE          =    {res} .65155

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2}  1.72145{col 36}{space 2} .4081733{col 47}{space 1}    4.22{col 56}{space 3}0.000{col 64}{space 4} .9132949{col 77}{space 3} 2.529604
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0049073{col 36}{space 2} .0248259{col 47}{space 1}   -0.20{col 56}{space 3}0.844{col 64}{space 4}-.0540608{col 77}{space 3} .0442461
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0727892{col 36}{space 2} .0797371{col 47}{space 1}   -0.91{col 56}{space 3}0.363{col 64}{space 4}-.2306632{col 77}{space 3} .0850848
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3438616{col 36}{space 2} .1012678{col 47}{space 1}    3.40{col 56}{space 3}0.001{col 64}{space 4} .1433584{col 77}{space 3} .5443648
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2749604{col 36}{space 2} .1706505{col 47}{space 1}   -1.61{col 56}{space 3}0.110{col 64}{space 4}-.6128365{col 77}{space 3} .0629157
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4816187{col 36}{space 2} .2167226{col 47}{space 1}   -2.22{col 56}{space 3}0.028{col 64}{space 4}-.9107144{col 77}{space 3} -.052523
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0454576{col 36}{space 2} .0489289{col 47}{space 1}   -0.93{col 56}{space 3}0.355{col 64}{space 4}-.1423334{col 77}{space 3} .0514182
{txt}{space 4}l_c_totdyadtraperc {c |}{col 24}{res}{space 2} .0013391{col 36}{space 2} .0044252{col 47}{space 1}    0.30{col 56}{space 3}0.763{col 64}{space 4}-.0074224{col 77}{space 3} .0101007
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0606266{col 36}{space 2} .2805598{col 47}{space 1}   -0.22{col 56}{space 3}0.829{col 64}{space 4}-.6161156{col 77}{space 3} .4948623
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3774766{col 36}{space 2} .2512587{col 47}{space 1}   -1.50{col 56}{space 3}0.136{col 64}{space 4}-.8749513{col 77}{space 3} .1199981
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1882037{col 36}{space 2} .1905959{col 47}{space 1}   -0.99{col 56}{space 3}0.325{col 64}{space 4}-.5655704{col 77}{space 3} .1891629
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0817872{col 36}{space 2} .1986895{col 47}{space 1}   -0.41{col 56}{space 3}0.681{col 64}{space 4}-.4751786{col 77}{space 3} .3116042
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3175436{col 36}{space 2}  .309214{col 47}{space 1}   -1.03{col 56}{space 3}0.307{col 64}{space 4}-.9297658{col 77}{space 3} .2946786
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4452812{col 36}{space 2} .5850965{col 47}{space 1}    0.76{col 56}{space 3}0.448{col 64}{space 4}-.7131691{col 77}{space 3} 1.603732
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l2_c_totdyadtraperc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,560
                                                {txt}F(13, 120)        =  {res}     4.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4074
                                                {txt}Root MSE          =    {res} .65985

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.731728{col 36}{space 2} .4132337{col 47}{space 1}    4.19{col 56}{space 3}0.000{col 64}{space 4}  .913554{col 77}{space 3} 2.549902
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0049329{col 36}{space 2} .0255852{col 47}{space 1}   -0.19{col 56}{space 3}0.847{col 64}{space 4}-.0555898{col 77}{space 3}  .045724
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0744315{col 36}{space 2} .0825794{col 47}{space 1}   -0.90{col 56}{space 3}0.369{col 64}{space 4}-.2379329{col 77}{space 3} .0890699
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3430927{col 36}{space 2} .1025543{col 47}{space 1}    3.35{col 56}{space 3}0.001{col 64}{space 4} .1400423{col 77}{space 3} .5461431
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2825313{col 36}{space 2} .1752166{col 47}{space 1}   -1.61{col 56}{space 3}0.109{col 64}{space 4}-.6294479{col 77}{space 3} .0643853
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.5001067{col 36}{space 2} .2220229{col 47}{space 1}   -2.25{col 56}{space 3}0.026{col 64}{space 4}-.9396967{col 77}{space 3}-.0605168
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0478892{col 36}{space 2} .0506248{col 47}{space 1}   -0.95{col 56}{space 3}0.346{col 64}{space 4}-.1481228{col 77}{space 3} .0523445
{txt}{space 3}l2_c_totdyadtraperc {c |}{col 24}{res}{space 2} .0008467{col 36}{space 2}  .004297{col 47}{space 1}    0.20{col 56}{space 3}0.844{col 64}{space 4}-.0076611{col 77}{space 3} .0093545
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0576902{col 36}{space 2} .2859932{col 47}{space 1}   -0.20{col 56}{space 3}0.840{col 64}{space 4}-.6239369{col 77}{space 3} .5085565
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3718554{col 36}{space 2} .2549514{col 47}{space 1}   -1.46{col 56}{space 3}0.147{col 64}{space 4}-.8766415{col 77}{space 3} .1329307
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1993449{col 36}{space 2}  .196381{col 47}{space 1}   -1.02{col 56}{space 3}0.312{col 64}{space 4}-.5881656{col 77}{space 3} .1894759
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.0906436{col 36}{space 2} .2031089{col 47}{space 1}   -0.45{col 56}{space 3}0.656{col 64}{space 4}-.4927852{col 77}{space 3}  .311498
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.3245563{col 36}{space 2} .3150833{col 47}{space 1}   -1.03{col 56}{space 3}0.305{col 64}{space 4}-.9483993{col 77}{space 3} .2992867
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .4735391{col 36}{space 2} .6011339{col 47}{space 1}    0.79{col 56}{space 3}0.432{col 64}{space 4}-.7166643{col 77}{space 3} 1.663743
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l_us_fpsim_inv  
>                 l_c_totdyadtraperc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,317
                                                {txt}F(14, 114)        =  {res}     5.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4499
                                                {txt}Root MSE          =    {res} .60258

{txt}{ralign 88:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.290064{col 36}{space 2} .3216052{col 47}{space 1}    4.01{col 56}{space 3}0.000{col 64}{space 4}  .652967{col 77}{space 3} 1.927162
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0013704{col 36}{space 2} .0214891{col 47}{space 1}    0.06{col 56}{space 3}0.949{col 64}{space 4}-.0411994{col 77}{space 3} .0439401
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0896202{col 36}{space 2}   .07252{col 47}{space 1}   -1.24{col 56}{space 3}0.219{col 64}{space 4}-.2332818{col 77}{space 3} .0540413
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4059444{col 36}{space 2} .1175333{col 47}{space 1}    3.45{col 56}{space 3}0.001{col 64}{space 4} .1731119{col 77}{space 3} .6387769
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.5615292{col 36}{space 2} .2010291{col 47}{space 1}   -2.79{col 56}{space 3}0.006{col 64}{space 4}-.9597663{col 77}{space 3} -.163292
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.0325555{col 36}{space 2} .1759714{col 47}{space 1}   -0.19{col 56}{space 3}0.854{col 64}{space 4}-.3811535{col 77}{space 3} .3160424
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}   -.0428{col 36}{space 2}  .045471{col 47}{space 1}   -0.94{col 56}{space 3}0.349{col 64}{space 4}-.1328776{col 77}{space 3} .0472776
{txt}{space 8}l_us_fpsim_inv {c |}{col 24}{res}{space 2}-.0057272{col 36}{space 2} .0440628{col 47}{space 1}   -0.13{col 56}{space 3}0.897{col 64}{space 4}-.0930153{col 77}{space 3} .0815609
{txt}{space 4}l_c_totdyadtraperc {c |}{col 24}{res}{space 2} .0012236{col 36}{space 2} .0042912{col 47}{space 1}    0.29{col 56}{space 3}0.776{col 64}{space 4}-.0072771{col 77}{space 3} .0097244
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.8169524{col 36}{space 2}  .262925{col 47}{space 1}   -3.11{col 56}{space 3}0.002{col 64}{space 4}-1.337805{col 77}{space 3}   -.2961
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4913961{col 36}{space 2} .2520985{col 47}{space 1}   -1.95{col 56}{space 3}0.054{col 64}{space 4}-.9908012{col 77}{space 3}  .008009
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.4154129{col 36}{space 2} .1943044{col 47}{space 1}   -2.14{col 56}{space 3}0.035{col 64}{space 4}-.8003285{col 77}{space 3}-.0304973
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.2930064{col 36}{space 2} .2294924{col 47}{space 1}   -1.28{col 56}{space 3}0.204{col 64}{space 4}-.7476291{col 77}{space 3} .1616163
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4497074{col 36}{space 2} .2761947{col 47}{space 1}   -1.63{col 56}{space 3}0.106{col 64}{space 4}-.9968469{col 77}{space 3} .0974322
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .7142916{col 36}{space 2} .5719561{col 47}{space 1}    1.25{col 56}{space 3}0.214{col 64}{space 4} -.418749{col 77}{space 3} 1.847332
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 l2_us_fpsim_inv 
>                 l2_c_totdyadtraperc
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,258
                                                {txt}F(14, 114)        =  {res}     5.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4518
                                                {txt}Root MSE          =    {res} .61085

{txt}{ralign 88:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.320961{col 36}{space 2} .3331083{col 47}{space 1}    3.97{col 56}{space 3}0.000{col 64}{space 4} .6610758{col 77}{space 3} 1.980846
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0034014{col 36}{space 2} .0227564{col 47}{space 1}    0.15{col 56}{space 3}0.881{col 64}{space 4}-.0416789{col 77}{space 3} .0484818
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0881444{col 36}{space 2} .0761723{col 47}{space 1}   -1.16{col 56}{space 3}0.250{col 64}{space 4}-.2390412{col 77}{space 3} .0627524
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3941429{col 36}{space 2} .1216008{col 47}{space 1}    3.24{col 56}{space 3}0.002{col 64}{space 4} .1532526{col 77}{space 3} .6350332
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.5915116{col 36}{space 2} .2144223{col 47}{space 1}   -2.76{col 56}{space 3}0.007{col 64}{space 4} -1.01628{col 77}{space 3}-.1667427
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.0059663{col 36}{space 2} .1903156{col 47}{space 1}   -0.03{col 56}{space 3}0.975{col 64}{space 4}  -.38298{col 77}{space 3} .3710474
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0590944{col 36}{space 2} .0487232{col 47}{space 1}   -1.21{col 56}{space 3}0.228{col 64}{space 4}-.1556147{col 77}{space 3} .0374258
{txt}{space 7}l2_us_fpsim_inv {c |}{col 24}{res}{space 2} .0061975{col 36}{space 2} .0532312{col 47}{space 1}    0.12{col 56}{space 3}0.908{col 64}{space 4} -.099253{col 77}{space 3}  .111648
{txt}{space 3}l2_c_totdyadtraperc {c |}{col 24}{res}{space 2} .0005961{col 36}{space 2}  .004228{col 47}{space 1}    0.14{col 56}{space 3}0.888{col 64}{space 4}-.0077795{col 77}{space 3} .0089717
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} -.842278{col 36}{space 2} .2733325{col 47}{space 1}   -3.08{col 56}{space 3}0.003{col 64}{space 4}-1.383748{col 77}{space 3}-.3008084
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.4920493{col 36}{space 2} .2617192{col 47}{space 1}   -1.88{col 56}{space 3}0.063{col 64}{space 4}-1.010513{col 77}{space 3} .0264145
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.4327247{col 36}{space 2} .2047792{col 47}{space 1}   -2.11{col 56}{space 3}0.037{col 64}{space 4}-.8383906{col 77}{space 3}-.0270587
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.3194597{col 36}{space 2} .2407245{col 47}{space 1}   -1.33{col 56}{space 3}0.187{col 64}{space 4}-.7963331{col 77}{space 3} .1574138
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.4551234{col 36}{space 2} .2861425{col 47}{space 1}   -1.59{col 56}{space 3}0.114{col 64}{space 4}-1.021969{col 77}{space 3} .1117226
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6758322{col 36}{space 2} .5914281{col 47}{space 1}    1.14{col 56}{space 3}0.256{col 64}{space 4}-.4957823{col 77}{space 3} 1.847447
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.                 
.                 
.                 
.         ****************************************************************************
.         *Table SM.3.9. Democracies tilting away from the United States
.         ****************************************************************************
.         
.         *Generating interactions 
.         gen l_libdem_X_l_diff_us_fpsim = l_v2x_libdem * l_diff_us_fpsim_inv
{txt}(1,377 missing values generated)

{com}.         gen l_democ_X_l_diff_us_fpsim = l_democ * l_diff_us_fpsim_inv
{txt}(1,376 missing values generated)

{com}.                         
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_libdem_X_l_diff_us_fpsim
>                 l_v2x_libdem
>                 l_diff_us_fpsim_inv
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,260
                                                {txt}F(3, 120)         =  {res}     2.64
                                                {txt}Prob > F          = {res}    0.0527
                                                {txt}R-squared         = {res}    0.1062
                                                {txt}Root MSE          =    {res} .75459

{txt}{ralign 92:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                  allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_libdem_X_l_diff_us_fpsim {c |}{col 28}{res}{space 2} .0111175{col 40}{space 2} .1166874{col 51}{space 1}    0.10{col 60}{space 3}0.924{col 68}{space 4}-.2199154{col 81}{space 3} .2421505
{txt}{space 14}l_v2x_libdem {c |}{col 28}{res}{space 2} 1.018722{col 40}{space 2} .3625591{col 51}{space 1}    2.81{col 60}{space 3}0.006{col 68}{space 4} .3008804{col 81}{space 3} 1.736564
{txt}{space 7}l_diff_us_fpsim_inv {c |}{col 28}{res}{space 2}-.0124036{col 40}{space 2} .0325554{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4} -.076861{col 81}{space 3} .0520539
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0969665{col 40}{space 2} .0643443{col 51}{space 1}    1.51{col 60}{space 3}0.134{col 68}{space 4}-.0304307{col 81}{space 3} .2243637
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_libdem_X_l_diff_us_fpsim
>                 l_v2x_libdem
>                 l_diff_us_fpsim_inv
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,209
                                                {txt}F(9, 114)         =  {res}     4.59
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4163
                                                {txt}Root MSE          =    {res}  .6211

{txt}{ralign 92:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                  allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_libdem_X_l_diff_us_fpsim {c |}{col 28}{res}{space 2} .0914855{col 40}{space 2} .1191426{col 51}{space 1}    0.77{col 60}{space 3}0.444{col 68}{space 4}-.1445351{col 81}{space 3}  .327506
{txt}{space 14}l_v2x_libdem {c |}{col 28}{res}{space 2} 1.639893{col 40}{space 2} .3574322{col 51}{space 1}    4.59{col 60}{space 3}0.000{col 68}{space 4} .9318228{col 81}{space 3} 2.347964
{txt}{space 7}l_diff_us_fpsim_inv {c |}{col 28}{res}{space 2}-.0427187{col 40}{space 2} .0345059{col 51}{space 1}   -1.24{col 60}{space 3}0.218{col 68}{space 4}-.1110747{col 81}{space 3} .0256372
{txt}{space 15}l_ln_fuelpc {c |}{col 28}{res}{space 2}-.0033143{col 40}{space 2} .0228079{col 51}{space 1}   -0.15{col 60}{space 3}0.885{col 68}{space 4}-.0484965{col 81}{space 3} .0418679
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2}-.2608998{col 40}{space 2}  .085412{col 51}{space 1}   -3.05{col 60}{space 3}0.003{col 68}{space 4}-.4301003{col 81}{space 3}-.0916992
{txt}{space 10}l_ln_milperratio {c |}{col 28}{res}{space 2} .4155366{col 40}{space 2} .1015704{col 51}{space 1}    4.09{col 60}{space 3}0.000{col 68}{space 4} .2143263{col 81}{space 3} .6167469
{txt}{space 14}l_marxinsurg {c |}{col 28}{res}{space 2}-.3527119{col 40}{space 2}  .145037{col 51}{space 1}   -2.43{col 60}{space 3}0.017{col 68}{space 4} -.640029{col 81}{space 3}-.0653947
{txt}{space 4}l_v2exl_legitideolcr_1 {c |}{col 28}{res}{space 2}-.2817326{col 40}{space 2} .1608806{col 51}{space 1}   -1.75{col 60}{space 3}0.083{col 68}{space 4}-.6004358{col 81}{space 3} .0369706
{txt}{space 17}l_hr_mean {c |}{col 28}{res}{space 2}  -.04241{col 40}{space 2} .0435984{col 51}{space 1}   -0.97{col 60}{space 3}0.333{col 68}{space 4}-.1287781{col 81}{space 3} .0439582
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.644728{col 40}{space 2} .6182595{col 51}{space 1}    2.66{col 60}{space 3}0.009{col 68}{space 4} .4199608{col 81}{space 3} 2.869496
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_libdem_X_l_diff_us_fpsim
>                 l_v2x_libdem
>                 l_diff_us_fpsim_inv
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,209
                                                {txt}F(14, 114)        =  {res}     5.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4478
                                                {txt}Root MSE          =    {res} .60535

{txt}{ralign 92:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                  allstuds{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_libdem_X_l_diff_us_fpsim {c |}{col 28}{res}{space 2} .0757117{col 40}{space 2} .1200981{col 51}{space 1}    0.63{col 60}{space 3}0.530{col 68}{space 4}-.1622018{col 81}{space 3} .3136251
{txt}{space 14}l_v2x_libdem {c |}{col 28}{res}{space 2} 1.315448{col 40}{space 2} .3246538{col 51}{space 1}    4.05{col 60}{space 3}0.000{col 68}{space 4} .6723111{col 81}{space 3} 1.958584
{txt}{space 7}l_diff_us_fpsim_inv {c |}{col 28}{res}{space 2}-.0302769{col 40}{space 2} .0336566{col 51}{space 1}   -0.90{col 60}{space 3}0.370{col 68}{space 4}-.0969503{col 81}{space 3} .0363966
{txt}{space 15}l_ln_fuelpc {c |}{col 28}{res}{space 2} .0048542{col 40}{space 2} .0222041{col 51}{space 1}    0.22{col 60}{space 3}0.827{col 68}{space 4} -.039132{col 81}{space 3} .0488404
{txt}{space 16}l_ln_rgdpc {c |}{col 28}{res}{space 2}-.1065791{col 40}{space 2} .0741289{col 51}{space 1}   -1.44{col 60}{space 3}0.153{col 68}{space 4}-.2534279{col 81}{space 3} .0402697
{txt}{space 10}l_ln_milperratio {c |}{col 28}{res}{space 2} .3999512{col 40}{space 2} .1172489{col 51}{space 1}    3.41{col 60}{space 3}0.001{col 68}{space 4} .1676821{col 81}{space 3} .6322204
{txt}{space 14}l_marxinsurg {c |}{col 28}{res}{space 2} -.566142{col 40}{space 2} .2030054{col 51}{space 1}   -2.79{col 60}{space 3}0.006{col 68}{space 4}-.9682941{col 81}{space 3}-.1639899
{txt}{space 4}l_v2exl_legitideolcr_1 {c |}{col 28}{res}{space 2}-.0244885{col 40}{space 2} .1734616{col 51}{space 1}   -0.14{col 60}{space 3}0.888{col 68}{space 4}-.3681145{col 81}{space 3} .3191376
{txt}{space 17}l_hr_mean {c |}{col 28}{res}{space 2}-.0443889{col 40}{space 2} .0476268{col 51}{space 1}   -0.93{col 60}{space 3}0.353{col 68}{space 4}-.1387372{col 81}{space 3} .0499594
{txt}{space 17}region6_1 {c |}{col 28}{res}{space 2}-.8313702{col 40}{space 2} .2763285{col 51}{space 1}   -3.01{col 60}{space 3}0.003{col 68}{space 4}-1.378775{col 81}{space 3}-.2839655
{txt}{space 17}region6_2 {c |}{col 28}{res}{space 2}-.4514409{col 40}{space 2} .2138165{col 51}{space 1}   -2.11{col 60}{space 3}0.037{col 68}{space 4}-.8750098{col 81}{space 3} -.027872
{txt}{space 17}region6_3 {c |}{col 28}{res}{space 2}-.4178653{col 40}{space 2} .1959302{col 51}{space 1}   -2.13{col 60}{space 3}0.035{col 68}{space 4}-.8060014{col 81}{space 3}-.0297291
{txt}{space 17}region6_4 {c |}{col 28}{res}{space 2}-.3005266{col 40}{space 2} .2308286{col 51}{space 1}   -1.30{col 60}{space 3}0.196{col 68}{space 4}-.7577963{col 81}{space 3} .1567431
{txt}{space 17}region6_5 {c |}{col 28}{res}{space 2}-.4560444{col 40}{space 2} .2747167{col 51}{space 1}   -1.66{col 60}{space 3}0.100{col 68}{space 4}-1.000256{col 81}{space 3} .0881673
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .8398819{col 40}{space 2} .5617964{col 51}{space 1}    1.49{col 60}{space 3}0.138{col 68}{space 4}-.2730325{col 81}{space 3} 1.952796
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_democ_X_l_diff_us_fpsim
>                 l_democ
>                 l_diff_us_fpsim_inv
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,261
                                                {txt}F(3, 120)         =  {res}     2.63
                                                {txt}Prob > F          = {res}    0.0531
                                                {txt}R-squared         = {res}    0.1140
                                                {txt}Root MSE          =    {res} .75108

{txt}{ralign 91:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                 allstuds{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_democ_X_l_diff_us_fpsim {c |}{col 27}{res}{space 2} .0198567{col 39}{space 2}  .085558{col 50}{space 1}    0.23{col 59}{space 3}0.817{col 67}{space 4}-.1495422{col 80}{space 3} .1892555
{txt}{space 18}l_democ {c |}{col 27}{res}{space 2} .6129466{col 39}{space 2} .2202615{col 50}{space 1}    2.78{col 59}{space 3}0.006{col 67}{space 4} .1768441{col 80}{space 3} 1.049049
{txt}{space 6}l_diff_us_fpsim_inv {c |}{col 27}{res}{space 2}-.0122813{col 39}{space 2} .0335975{col 50}{space 1}   -0.37{col 59}{space 3}0.715{col 67}{space 4} -.078802{col 80}{space 3} .0542394
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .2109345{col 39}{space 2} .0469003{col 50}{space 1}    4.50{col 59}{space 3}0.000{col 67}{space 4} .1180752{col 80}{space 3} .3037938
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_democ_X_l_diff_us_fpsim
>                 l_democ
>                 l_diff_us_fpsim_inv
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,210
                                                {txt}F(9, 114)         =  {res}     4.32
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.3969
                                                {txt}Root MSE          =    {res} .63114

{txt}{ralign 91:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                 allstuds{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_democ_X_l_diff_us_fpsim {c |}{col 27}{res}{space 2} .0529278{col 39}{space 2} .0888397{col 50}{space 1}    0.60{col 59}{space 3}0.553{col 67}{space 4}-.1230629{col 80}{space 3} .2289186
{txt}{space 18}l_democ {c |}{col 27}{res}{space 2}  .822262{col 39}{space 2} .1839529{col 50}{space 1}    4.47{col 59}{space 3}0.000{col 67}{space 4} .4578528{col 80}{space 3} 1.186671
{txt}{space 6}l_diff_us_fpsim_inv {c |}{col 27}{res}{space 2}-.0261155{col 39}{space 2} .0340145{col 50}{space 1}   -0.77{col 59}{space 3}0.444{col 67}{space 4} -.093498{col 80}{space 3} .0412671
{txt}{space 14}l_ln_fuelpc {c |}{col 27}{res}{space 2}-.0121873{col 39}{space 2} .0209466{col 50}{space 1}   -0.58{col 59}{space 3}0.562{col 67}{space 4}-.0536825{col 80}{space 3} .0293078
{txt}{space 15}l_ln_rgdpc {c |}{col 27}{res}{space 2}-.2064545{col 39}{space 2} .0775149{col 50}{space 1}   -2.66{col 59}{space 3}0.009{col 67}{space 4} -.360011{col 80}{space 3}-.0528981
{txt}{space 9}l_ln_milperratio {c |}{col 27}{res}{space 2}  .415259{col 39}{space 2} .1039796{col 50}{space 1}    3.99{col 59}{space 3}0.000{col 67}{space 4} .2092762{col 80}{space 3} .6212417
{txt}{space 13}l_marxinsurg {c |}{col 27}{res}{space 2}-.2129173{col 39}{space 2} .1040596{col 50}{space 1}   -2.05{col 59}{space 3}0.043{col 67}{space 4}-.4190585{col 80}{space 3}-.0067761
{txt}{space 3}l_v2exl_legitideolcr_1 {c |}{col 27}{res}{space 2}-.2975479{col 39}{space 2} .1651988{col 50}{space 1}   -1.80{col 59}{space 3}0.074{col 67}{space 4}-.6248055{col 80}{space 3} .0297097
{txt}{space 16}l_hr_mean {c |}{col 27}{res}{space 2} -.011359{col 39}{space 2} .0395678{col 50}{space 1}   -0.29{col 59}{space 3}0.775{col 67}{space 4}-.0897424{col 80}{space 3} .0670244
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.466515{col 39}{space 2} .5909317{col 50}{space 1}    2.48{col 59}{space 3}0.015{col 67}{space 4}  .295884{col 80}{space 3} 2.637146
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_democ_X_l_diff_us_fpsim
>                 l_democ
>                 l_diff_us_fpsim_inv
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,210
                                                {txt}F(14, 114)        =  {res}     6.84
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4406
                                                {txt}Root MSE          =    {res} .60909

{txt}{ralign 91:(Std. Err. adjusted for {res:115} clusters in cowcode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                 allstuds{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_democ_X_l_diff_us_fpsim {c |}{col 27}{res}{space 2} .0400342{col 39}{space 2} .0854491{col 50}{space 1}    0.47{col 59}{space 3}0.640{col 67}{space 4}-.1292399{col 80}{space 3} .2093083
{txt}{space 18}l_democ {c |}{col 27}{res}{space 2} .6145605{col 39}{space 2} .1586947{col 50}{space 1}    3.87{col 59}{space 3}0.000{col 67}{space 4} .3001875{col 80}{space 3} .9289334
{txt}{space 6}l_diff_us_fpsim_inv {c |}{col 27}{res}{space 2}-.0166629{col 39}{space 2} .0318022{col 50}{space 1}   -0.52{col 59}{space 3}0.601{col 67}{space 4}-.0796628{col 80}{space 3}  .046337
{txt}{space 14}l_ln_fuelpc {c |}{col 27}{res}{space 2} .0028976{col 39}{space 2} .0216462{col 50}{space 1}    0.13{col 59}{space 3}0.894{col 67}{space 4}-.0399834{col 80}{space 3} .0457785
{txt}{space 15}l_ln_rgdpc {c |}{col 27}{res}{space 2}-.0680204{col 39}{space 2} .0787225{col 50}{space 1}   -0.86{col 59}{space 3}0.389{col 67}{space 4} -.223969{col 80}{space 3} .0879282
{txt}{space 9}l_ln_milperratio {c |}{col 27}{res}{space 2} .3896022{col 39}{space 2} .1153821{col 50}{space 1}    3.38{col 59}{space 3}0.001{col 67}{space 4} .1610311{col 80}{space 3} .6181733
{txt}{space 13}l_marxinsurg {c |}{col 27}{res}{space 2}-.5041255{col 39}{space 2} .1948514{col 50}{space 1}   -2.59{col 59}{space 3}0.011{col 67}{space 4}-.8901245{col 80}{space 3}-.1181265
{txt}{space 3}l_v2exl_legitideolcr_1 {c |}{col 27}{res}{space 2} .0098476{col 39}{space 2} .1676147{col 50}{space 1}    0.06{col 59}{space 3}0.953{col 67}{space 4}-.3221959{col 80}{space 3} .3418911
{txt}{space 16}l_hr_mean {c |}{col 27}{res}{space 2}-.0314355{col 39}{space 2} .0465524{col 50}{space 1}   -0.68{col 59}{space 3}0.501{col 67}{space 4}-.1236554{col 80}{space 3} .0607844
{txt}{space 16}region6_1 {c |}{col 27}{res}{space 2}-.9559017{col 39}{space 2} .2838546{col 50}{space 1}   -3.37{col 59}{space 3}0.001{col 67}{space 4}-1.518216{col 80}{space 3}-.3935879
{txt}{space 16}region6_2 {c |}{col 27}{res}{space 2}-.5047005{col 39}{space 2} .2311158{col 50}{space 1}   -2.18{col 59}{space 3}0.031{col 67}{space 4}-.9625391{col 80}{space 3} -.046862
{txt}{space 16}region6_3 {c |}{col 27}{res}{space 2}-.4726141{col 39}{space 2} .2121585{col 50}{space 1}   -2.23{col 59}{space 3}0.028{col 67}{space 4}-.8928984{col 80}{space 3}-.0523298
{txt}{space 16}region6_4 {c |}{col 27}{res}{space 2}-.3178768{col 39}{space 2} .2452704{col 50}{space 1}   -1.30{col 59}{space 3}0.198{col 67}{space 4}-.8037555{col 80}{space 3}  .168002
{txt}{space 16}region6_5 {c |}{col 27}{res}{space 2}-.3915846{col 39}{space 2} .2854683{col 50}{space 1}   -1.37{col 59}{space 3}0.173{col 67}{space 4}-.9570952{col 80}{space 3}  .173926
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7580517{col 39}{space 2} .5813128{col 50}{space 1}    1.30{col 59}{space 3}0.195{col 67}{space 4}-.3935245{col 80}{space 3} 1.909628
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.3.10. Controlling for hard power
.         ****************************************************************************    
. 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_us_influence
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,719
                                                {txt}F(2, 128)         =  {res}     5.90
                                                {txt}Prob > F          = {res}    0.0035
                                                {txt}R-squared         = {res}    0.1597
                                                {txt}Root MSE          =    {res} .77785

{txt}{ralign 80:(Std. Err. adjusted for {res:129} clusters in cowcode)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      allstuds{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}l_v2x_libdem {c |}{col 16}{res}{space 2} 1.354253{col 28}{space 2} .3979709{col 39}{space 1}    3.40{col 48}{space 3}0.001{col 56}{space 4} .5667994{col 69}{space 3} 2.141706
{txt}l_us_influence {c |}{col 16}{res}{space 2} .2595885{col 28}{space 2} .1555174{col 39}{space 1}    1.67{col 48}{space 3}0.098{col 56}{space 4}-.0481293{col 69}{space 3} .5673063
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  -.02696{col 28}{space 2} .0877149{col 39}{space 1}   -0.31{col 48}{space 3}0.759{col 56}{space 4}-.2005188{col 69}{space 3} .1465989
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_us_influence
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,587
                                                {txt}F(8, 119)         =  {res}     5.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4292
                                                {txt}Root MSE          =    {res} .64231

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.724226{col 36}{space 2} .3540016{col 47}{space 1}    4.87{col 56}{space 3}0.000{col 64}{space 4} 1.023268{col 77}{space 3} 2.425185
{txt}{space 8}l_us_influence {c |}{col 24}{res}{space 2} .2303139{col 36}{space 2} .1309225{col 47}{space 1}    1.76{col 56}{space 3}0.081{col 64}{space 4}-.0289258{col 77}{space 3} .4895535
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}   .00676{col 36}{space 2} .0216183{col 47}{space 1}    0.31{col 56}{space 3}0.755{col 64}{space 4}-.0360464{col 77}{space 3} .0495663
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} -.177502{col 36}{space 2} .0789743{col 47}{space 1}   -2.25{col 56}{space 3}0.026{col 64}{space 4}-.3338789{col 77}{space 3} -.021125
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4041922{col 36}{space 2} .0869555{col 47}{space 1}    4.65{col 56}{space 3}0.000{col 64}{space 4} .2320116{col 77}{space 3} .5763728
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2865623{col 36}{space 2} .1281401{col 47}{space 1}   -2.24{col 56}{space 3}0.027{col 64}{space 4}-.5402925{col 77}{space 3}-.0328321
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.2683275{col 36}{space 2} .1586885{col 47}{space 1}   -1.69{col 56}{space 3}0.093{col 64}{space 4}-.5825466{col 77}{space 3} .0458916
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0294263{col 36}{space 2} .0468255{col 47}{space 1}   -0.63{col 56}{space 3}0.531{col 64}{space 4}-.1221455{col 77}{space 3} .0632929
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .9070749{col 36}{space 2} .5434094{col 47}{space 1}    1.67{col 56}{space 3}0.098{col 64}{space 4}  -.16893{col 77}{space 3}  1.98308
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_us_influence
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,587
                                                {txt}F(13, 119)        =  {res}     5.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4436
                                                {txt}Root MSE          =    {res} .63514

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.830593{col 36}{space 2} .3977021{col 47}{space 1}    4.60{col 56}{space 3}0.000{col 64}{space 4} 1.043103{col 77}{space 3} 2.618083
{txt}{space 8}l_us_influence {c |}{col 24}{res}{space 2} .2389829{col 36}{space 2}  .124705{col 47}{space 1}    1.92{col 56}{space 3}0.058{col 64}{space 4}-.0079455{col 77}{space 3} .4859112
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0072662{col 36}{space 2} .0221859{col 47}{space 1}   -0.33{col 56}{space 3}0.744{col 64}{space 4}-.0511966{col 77}{space 3} .0366641
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0771944{col 36}{space 2}  .074691{col 47}{space 1}   -1.03{col 56}{space 3}0.303{col 64}{space 4}  -.22509{col 77}{space 3} .0707012
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4039181{col 36}{space 2} .0995917{col 47}{space 1}    4.06{col 56}{space 3}0.000{col 64}{space 4} .2067166{col 77}{space 3} .6011196
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2647931{col 36}{space 2} .1770542{col 47}{space 1}   -1.50{col 56}{space 3}0.137{col 64}{space 4}-.6153781{col 77}{space 3}  .085792
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4130867{col 36}{space 2}  .216034{col 47}{space 1}   -1.91{col 56}{space 3}0.058{col 64}{space 4}-.8408556{col 77}{space 3} .0146821
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0427043{col 36}{space 2} .0455511{col 47}{space 1}   -0.94{col 56}{space 3}0.350{col 64}{space 4}   -.1329{col 77}{space 3} .0474914
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .1290678{col 36}{space 2} .2570982{col 47}{space 1}    0.50{col 56}{space 3}0.617{col 64}{space 4}-.3800124{col 77}{space 3} .6381479
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2629074{col 36}{space 2} .1887023{col 47}{space 1}   -1.39{col 56}{space 3}0.166{col 64}{space 4}-.6365568{col 77}{space 3} .1107419
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1113971{col 36}{space 2} .1840313{col 47}{space 1}   -0.61{col 56}{space 3}0.546{col 64}{space 4}-.4757974{col 77}{space 3} .2530033
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}  .056019{col 36}{space 2} .1888913{col 47}{space 1}    0.30{col 56}{space 3}0.767{col 64}{space 4}-.3180046{col 77}{space 3} .4300427
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -.271737{col 36}{space 2} .2786631{col 47}{space 1}   -0.98{col 56}{space 3}0.331{col 64}{space 4}-.8235177{col 77}{space 3} .2800437
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2645629{col 36}{space 2} .5346762{col 47}{space 1}    0.49{col 56}{space 3}0.622{col 64}{space 4}-.7941492{col 77}{space 3} 1.323275
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_us_influence
>                 l_rus_influence
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,719
                                                {txt}F(3, 128)         =  {res}     3.98
                                                {txt}Prob > F          = {res}    0.0095
                                                {txt}R-squared         = {res}    0.1621
                                                {txt}Root MSE          =    {res} .77693

{txt}{ralign 81:(Std. Err. adjusted for {res:129} clusters in cowcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       allstuds{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}l_v2x_libdem {c |}{col 17}{res}{space 2} 1.409045{col 29}{space 2} .4149588{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} .5879782{col 70}{space 3} 2.230112
{txt}{space 1}l_us_influence {c |}{col 17}{res}{space 2}  .285988{col 29}{space 2} .1642152{col 40}{space 1}    1.74{col 49}{space 3}0.084{col 57}{space 4}-.0389398{col 70}{space 3} .6109159
{txt}l_rus_influence {c |}{col 17}{res}{space 2} .1507992{col 29}{space 2} .1194191{col 40}{space 1}    1.26{col 49}{space 3}0.209{col 57}{space 4}-.0854919{col 70}{space 3} .3870904
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-.0625125{col 29}{space 2} .1047925{col 40}{space 1}   -0.60{col 49}{space 3}0.552{col 57}{space 4}-.2698624{col 70}{space 3} .1448374
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 5
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem 
>                 l_us_influence
>                 l_rus_influence
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,587
                                                {txt}F(9, 119)         =  {res}     5.06
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4298
                                                {txt}Root MSE          =    {res} .64213

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.770754{col 36}{space 2} .3884249{col 47}{space 1}    4.56{col 56}{space 3}0.000{col 64}{space 4} 1.001634{col 77}{space 3} 2.539874
{txt}{space 8}l_us_influence {c |}{col 24}{res}{space 2}   .23228{col 36}{space 2} .1310535{col 47}{space 1}    1.77{col 56}{space 3}0.079{col 64}{space 4} -.027219{col 77}{space 3} .4917791
{txt}{space 7}l_rus_influence {c |}{col 24}{res}{space 2} .1037908{col 36}{space 2} .2402329{col 47}{space 1}    0.43{col 56}{space 3}0.666{col 64}{space 4}-.3718944{col 77}{space 3}  .579476
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2} .0051152{col 36}{space 2} .0207889{col 47}{space 1}    0.25{col 56}{space 3}0.806{col 64}{space 4} -.036049{col 77}{space 3} .0462794
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.1834274{col 36}{space 2}  .078786{col 47}{space 1}   -2.33{col 56}{space 3}0.022{col 64}{space 4}-.3394315{col 77}{space 3}-.0274232
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4017147{col 36}{space 2} .0882791{col 47}{space 1}    4.55{col 56}{space 3}0.000{col 64}{space 4} .2269132{col 77}{space 3} .5765162
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2815854{col 36}{space 2} .1293175{col 47}{space 1}   -2.18{col 56}{space 3}0.031{col 64}{space 4} -.537647{col 77}{space 3}-.0255238
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.3183688{col 36}{space 2} .2208793{col 47}{space 1}   -1.44{col 56}{space 3}0.152{col 64}{space 4}-.7557319{col 77}{space 3} .1189942
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0321356{col 36}{space 2} .0462349{col 47}{space 1}   -0.70{col 56}{space 3}0.488{col 64}{space 4}-.1236852{col 77}{space 3} .0594141
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .9507194{col 36}{space 2} .5439396{col 47}{space 1}    1.75{col 56}{space 3}0.083{col 64}{space 4}-.1263354{col 77}{space 3} 2.027774
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.                 
.         *Model 6
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2x_libdem
>                 l_us_influence
>                 l_rus_influence
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,587
                                                {txt}F(14, 119)        =  {res}     4.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4436
                                                {txt}Root MSE          =    {res} .63534

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2x_libdem {c |}{col 24}{res}{space 2} 1.832642{col 36}{space 2} .4094696{col 47}{space 1}    4.48{col 56}{space 3}0.000{col 64}{space 4} 1.021851{col 77}{space 3} 2.643433
{txt}{space 8}l_us_influence {c |}{col 24}{res}{space 2} .2391625{col 36}{space 2} .1252621{col 47}{space 1}    1.91{col 56}{space 3}0.059{col 64}{space 4} -.008869{col 77}{space 3}  .487194
{txt}{space 7}l_rus_influence {c |}{col 24}{res}{space 2} .0096611{col 36}{space 2} .1980745{col 47}{space 1}    0.05{col 56}{space 3}0.961{col 64}{space 4}-.3825463{col 77}{space 3} .4018684
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0072959{col 36}{space 2} .0221226{col 47}{space 1}   -0.33{col 56}{space 3}0.742{col 64}{space 4}-.0511009{col 77}{space 3}  .036509
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0774273{col 36}{space 2} .0743674{col 47}{space 1}   -1.04{col 56}{space 3}0.300{col 64}{space 4}-.2246821{col 77}{space 3} .0698275
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2}  .403794{col 36}{space 2} .1004856{col 47}{space 1}    4.02{col 56}{space 3}0.000{col 64}{space 4} .2048226{col 77}{space 3} .6027655
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2644766{col 36}{space 2} .1783036{col 47}{space 1}   -1.48{col 56}{space 3}0.141{col 64}{space 4}-.6175356{col 77}{space 3} .0885824
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4155111{col 36}{space 2} .2392677{col 47}{space 1}   -1.74{col 56}{space 3}0.085{col 64}{space 4} -.889285{col 77}{space 3} .0582629
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0428203{col 36}{space 2}  .046038{col 47}{space 1}   -0.93{col 56}{space 3}0.354{col 64}{space 4}-.1339803{col 77}{space 3} .0483396
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2} .1240288{col 36}{space 2} .2296551{col 47}{space 1}    0.54{col 56}{space 3}0.590{col 64}{space 4}-.3307113{col 77}{space 3} .5787689
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.2629091{col 36}{space 2} .1887114{col 47}{space 1}   -1.39{col 56}{space 3}0.166{col 64}{space 4}-.6365765{col 77}{space 3} .1107583
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.1113304{col 36}{space 2} .1840573{col 47}{space 1}   -0.60{col 56}{space 3}0.546{col 64}{space 4}-.4757822{col 77}{space 3} .2531213
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} .0563336{col 36}{space 2} .1891133{col 47}{space 1}    0.30{col 56}{space 3}0.766{col 64}{space 4}-.3181296{col 77}{space 3} .4307968
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.2715588{col 36}{space 2} .2788774{col 47}{space 1}   -0.97{col 56}{space 3}0.332{col 64}{space 4} -.823764{col 77}{space 3} .2806463
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .2660807{col 36}{space 2} .5333671{col 47}{space 1}    0.50{col 56}{space 3}0.619{col 64}{space 4}-.7900395{col 77}{space 3} 1.322201
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.4.1. Distinguishing freedom in education, state, and media sector
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_v2clacfree 
>                 l_v2mecenefm
>                 l_v2clrspct
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,540
                                                {txt}F(3, 149)         =  {res}     4.47
                                                {txt}Prob > F          = {res}    0.0049
                                                {txt}R-squared         = {res}    0.1216
                                                {txt}Root MSE          =    {res} .67731

{txt}{ralign 78:(Std. Err. adjusted for {res:150} clusters in cowcode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    allstuds{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_v2clacfree {c |}{col 14}{res}{space 2} .1141911{col 26}{space 2} .0530059{col 37}{space 1}    2.15{col 46}{space 3}0.033{col 54}{space 4} .0094508{col 67}{space 3} .2189315
{txt}l_v2mecenefm {c |}{col 14}{res}{space 2}-.0108803{col 26}{space 2} .0337727{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.0776156{col 67}{space 3} .0558549
{txt}{space 1}l_v2clrspct {c |}{col 14}{res}{space 2} .0835271{col 26}{space 2} .0432919{col 37}{space 1}    1.93{col 46}{space 3}0.056{col 54}{space 4}-.0020183{col 67}{space 3} .1690724
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2915257{col 26}{space 2} .0576604{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .1775879{col 67}{space 3} .4054634
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds
>                 l_v2clacfree 
>                 l_v2mecenefm
>                 l_v2clrspct
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(9, 120)         =  {res}     4.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3832
                                                {txt}Root MSE          =    {res}  .6646

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2clacfree {c |}{col 24}{res}{space 2} .1425214{col 36}{space 2} .0532805{col 47}{space 1}    2.67{col 56}{space 3}0.009{col 64}{space 4} .0370297{col 77}{space 3} .2480131
{txt}{space 10}l_v2mecenefm {c |}{col 24}{res}{space 2} .0281017{col 36}{space 2}  .041305{col 47}{space 1}    0.68{col 56}{space 3}0.498{col 64}{space 4}-.0536793{col 77}{space 3} .1098826
{txt}{space 11}l_v2clrspct {c |}{col 24}{res}{space 2} .0965333{col 36}{space 2} .0576542{col 47}{space 1}    1.67{col 56}{space 3}0.097{col 64}{space 4}-.0176181{col 77}{space 3} .2106847
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0081784{col 36}{space 2} .0199173{col 47}{space 1}   -0.41{col 56}{space 3}0.682{col 64}{space 4}-.0476133{col 77}{space 3} .0312566
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0808193{col 36}{space 2} .0807692{col 47}{space 1}   -1.00{col 56}{space 3}0.319{col 64}{space 4}-.2407368{col 77}{space 3} .0790982
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .4013676{col 36}{space 2} .0925929{col 47}{space 1}    4.33{col 56}{space 3}0.000{col 64}{space 4} .2180401{col 77}{space 3} .5846951
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.1755104{col 36}{space 2} .1091279{col 47}{space 1}   -1.61{col 56}{space 3}0.110{col 64}{space 4} -.391576{col 77}{space 3} .0405552
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.3709176{col 36}{space 2} .1536117{col 47}{space 1}   -2.41{col 56}{space 3}0.017{col 64}{space 4}-.6750581{col 77}{space 3} -.066777
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0391295{col 36}{space 2} .0509772{col 47}{space 1}   -0.77{col 56}{space 3}0.444{col 64}{space 4}-.1400608{col 77}{space 3} .0618019
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .6950132{col 36}{space 2} .6257004{col 47}{space 1}    1.11{col 56}{space 3}0.269{col 64}{space 4}-.5438301{col 77}{space 3} 1.933856
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                              
{txt}delimiter now cr
{com}.         
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds
>                 l_v2clacfree 
>                 l_v2mecenefm
>                 l_v2clrspct
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,607
                                                {txt}F(14, 120)        =  {res}     3.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3925
                                                {txt}Root MSE          =    {res} .66061

{txt}{ralign 88:(Std. Err. adjusted for {res:121} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}l_v2clacfree {c |}{col 24}{res}{space 2} .1385094{col 36}{space 2} .0552295{col 47}{space 1}    2.51{col 56}{space 3}0.013{col 64}{space 4} .0291588{col 77}{space 3} .2478599
{txt}{space 10}l_v2mecenefm {c |}{col 24}{res}{space 2}  .040191{col 36}{space 2} .0470483{col 47}{space 1}    0.85{col 56}{space 3}0.395{col 64}{space 4}-.0529613{col 77}{space 3} .1333432
{txt}{space 11}l_v2clrspct {c |}{col 24}{res}{space 2} .0592604{col 36}{space 2} .0671007{col 47}{space 1}    0.88{col 56}{space 3}0.379{col 64}{space 4}-.0735943{col 77}{space 3} .1921151
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0055446{col 36}{space 2} .0220896{col 47}{space 1}   -0.25{col 56}{space 3}0.802{col 64}{space 4}-.0492805{col 77}{space 3} .0381912
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2}-.0376227{col 36}{space 2} .0891473{col 47}{space 1}   -0.42{col 56}{space 3}0.674{col 64}{space 4}-.2141282{col 77}{space 3} .1388827
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .3541809{col 36}{space 2} .1026095{col 47}{space 1}    3.45{col 56}{space 3}0.001{col 64}{space 4} .1510212{col 77}{space 3} .5573406
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2}-.2851673{col 36}{space 2} .1686017{col 47}{space 1}   -1.69{col 56}{space 3}0.093{col 64}{space 4}-.6189868{col 77}{space 3} .0486523
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.4168923{col 36}{space 2} .2143653{col 47}{space 1}   -1.94{col 56}{space 3}0.054{col 64}{space 4}-.8413207{col 77}{space 3} .0075361
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2}-.0476079{col 36}{space 2}  .052189{col 47}{space 1}   -0.91{col 56}{space 3}0.363{col 64}{space 4}-.1509384{col 77}{space 3} .0557226
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.0741418{col 36}{space 2} .2925261{col 47}{space 1}   -0.25{col 56}{space 3}0.800{col 64}{space 4}-.6533232{col 77}{space 3} .5050395
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.3127733{col 36}{space 2} .2156917{col 47}{space 1}   -1.45{col 56}{space 3}0.150{col 64}{space 4}-.7398278{col 77}{space 3} .1142813
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2}-.2222085{col 36}{space 2} .2076691{col 47}{space 1}   -1.07{col 56}{space 3}0.287{col 64}{space 4}-.6333789{col 77}{space 3} .1889619
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2} -.171051{col 36}{space 2} .2039606{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.5748787{col 77}{space 3} .2327767
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2} -.082802{col 36}{space 2} .3444849{col 47}{space 1}   -0.24{col 56}{space 3}0.810{col 64}{space 4}-.7648581{col 77}{space 3} .5992541
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}   .57882{col 36}{space 2} .6528448{col 47}{space 1}    0.89{col 56}{space 3}0.377{col 64}{space 4}-.7137672{col 77}{space 3} 1.871407
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.4.2. Academic freedoms and institutional context
.         ****************************************************************************    
.                 
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_ln_v2canuni
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,387
                                                {txt}F(1, 140)         =  {res}    21.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2901
                                                {txt}Root MSE          =    {res} .62477

{txt}{ralign 79:(Std. Err. adjusted for {res:141} clusters in cowcode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     allstuds{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_ln_v2canuni {c |}{col 15}{res}{space 2} .2644704{col 27}{space 2} .0564895{col 38}{space 1}    4.68{col 47}{space 3}0.000{col 55}{space 4} .1527877{col 68}{space 3} .3761531
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.1333099{col 27}{space 2} .0532067{col 38}{space 1}   -2.51{col 47}{space 3}0.013{col 55}{space 4}-.2385023{col 68}{space 3}-.0281175
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_ln_v2canuni
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,599
                                                {txt}F(12, 119)        =  {res}     3.78
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.3605
                                                {txt}Root MSE          =    {res} .67872

{txt}{ralign 88:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              allstuds{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}l_ln_v2canuni {c |}{col 24}{res}{space 2} .2041211{col 36}{space 2} .0710951{col 47}{space 1}    2.87{col 56}{space 3}0.005{col 64}{space 4} .0633457{col 77}{space 3} .3448965
{txt}{space 11}l_ln_fuelpc {c |}{col 24}{res}{space 2}-.0253844{col 36}{space 2} .0226535{col 47}{space 1}   -1.12{col 56}{space 3}0.265{col 64}{space 4}-.0702406{col 77}{space 3} .0194718
{txt}{space 12}l_ln_rgdpc {c |}{col 24}{res}{space 2} .0681221{col 36}{space 2} .0914459{col 47}{space 1}    0.74{col 56}{space 3}0.458{col 64}{space 4}-.1129499{col 77}{space 3} .2491941
{txt}{space 6}l_ln_milperratio {c |}{col 24}{res}{space 2} .1703391{col 36}{space 2} .1147638{col 47}{space 1}    1.48{col 56}{space 3}0.140{col 64}{space 4}-.0569047{col 77}{space 3} .3975829
{txt}{space 10}l_marxinsurg {c |}{col 24}{res}{space 2} .0444817{col 36}{space 2} .1827789{col 47}{space 1}    0.24{col 56}{space 3}0.808{col 64}{space 4}-.3174387{col 77}{space 3} .4064021
{txt}l_v2exl_legitideolcr_1 {c |}{col 24}{res}{space 2}-.2728442{col 36}{space 2} .2326141{col 47}{space 1}   -1.17{col 56}{space 3}0.243{col 64}{space 4}-.7334434{col 77}{space 3} .1877551
{txt}{space 13}l_hr_mean {c |}{col 24}{res}{space 2} .0471577{col 36}{space 2} .0454818{col 47}{space 1}    1.04{col 56}{space 3}0.302{col 64}{space 4}-.0429008{col 77}{space 3} .1372162
{txt}{space 13}region6_1 {c |}{col 24}{res}{space 2}-.4803851{col 36}{space 2} .3190568{col 47}{space 1}   -1.51{col 56}{space 3}0.135{col 64}{space 4}-1.112149{col 77}{space 3} .1513792
{txt}{space 13}region6_2 {c |}{col 24}{res}{space 2}-.5043153{col 36}{space 2} .2219798{col 47}{space 1}   -2.27{col 56}{space 3}0.025{col 64}{space 4}-.9438575{col 77}{space 3}-.0647732
{txt}{space 13}region6_3 {c |}{col 24}{res}{space 2} -.169752{col 36}{space 2} .1864358{col 47}{space 1}   -0.91{col 56}{space 3}0.364{col 64}{space 4}-.5389135{col 77}{space 3} .1994094
{txt}{space 13}region6_4 {c |}{col 24}{res}{space 2}-.1128435{col 36}{space 2} .2090685{col 47}{space 1}   -0.54{col 56}{space 3}0.590{col 64}{space 4}  -.52682{col 77}{space 3} .3011331
{txt}{space 13}region6_5 {c |}{col 24}{res}{space 2}-.0288546{col 36}{space 2} .3236363{col 47}{space 1}   -0.09{col 56}{space 3}0.929{col 64}{space 4}-.6696868{col 77}{space 3} .6119777
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.4236535{col 36}{space 2} .6699114{col 47}{space 1}   -0.63{col 56}{space 3}0.528{col 64}{space 4}-1.750145{col 77}{space 3}  .902838
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr             
{txt}delimiter now cr
{com}.         
.         *Generating interaction
.         gen l_ln_v2canuni_X_l_v2clacfree = l_ln_v2canuni * l_v2clacfree
{txt}(166 missing values generated)

{com}. 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds 
>                 l_ln_v2canuni_X_l_v2clacfree 
>                 l_ln_v2canuni 
>                 l_v2clacfree
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     2,387
                                                {txt}F(3, 140)         =  {res}    21.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4787
                                                {txt}Root MSE          =    {res} .53562

{txt}{ralign 94:(Std. Err. adjusted for {res:141} clusters in cowcode)}
{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                    allstuds{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_ln_v2canuni_X_l_v2clacfree {c |}{col 30}{res}{space 2} .1154975{col 42}{space 2} .0190905{col 53}{space 1}    6.05{col 62}{space 3}0.000{col 70}{space 4} .0777546{col 83}{space 3} .1532404
{txt}{space 15}l_ln_v2canuni {c |}{col 30}{res}{space 2} .2580644{col 42}{space 2} .0329458{col 53}{space 1}    7.83{col 62}{space 3}0.000{col 70}{space 4} .1929288{col 83}{space 3}    .3232
{txt}{space 16}l_v2clacfree {c |}{col 30}{res}{space 2}-.1077411{col 42}{space 2} .0276794{col 53}{space 1}   -3.89{col 62}{space 3}0.000{col 70}{space 4}-.1624648{col 83}{space 3}-.0530174
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}   -.1504{col 42}{space 2} .0386268{col 53}{space 1}   -3.89{col 62}{space 3}0.000{col 70}{space 4}-.2267673{col 83}{space 3}-.0740327
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg allstuds
>                 l_ln_v2canuni_X_l_v2clacfree 
>                 l_ln_v2canuni 
>                 l_v2clacfree    
>                 l_ln_fuelpc
>                 l_ln_rgdpc
>                 l_ln_milperratio
>                 l_marxinsurg
>                 l_v2exl_legitideolcr_1
>                 l_hr_mean
>                 region6_1-region6_5
>                 if sample==1, vce(cluster cowcode)
>                 ;

{txt}Linear regression                               Number of obs     = {res}     1,599
                                                {txt}F(14, 119)        =  {res}    14.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5409
                                                {txt}Root MSE          =    {res} .57543

{txt}{ralign 94:(Std. Err. adjusted for {res:120} clusters in cowcode)}
{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}                    allstuds{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      t{col 62}   P>|t|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
l_ln_v2canuni_X_l_v2clacfree {c |}{col 30}{res}{space 2} .1437612{col 42}{space 2} .0192491{col 53}{space 1}    7.47{col 62}{space 3}0.000{col 70}{space 4} .1056461{col 83}{space 3} .1818764
{txt}{space 15}l_ln_v2canuni {c |}{col 30}{res}{space 2} .1380512{col 42}{space 2} .0417054{col 53}{space 1}    3.31{col 62}{space 3}0.001{col 70}{space 4} .0554704{col 83}{space 3} .2206321
{txt}{space 16}l_v2clacfree {c |}{col 30}{res}{space 2}-.1390847{col 42}{space 2} .0427154{col 53}{space 1}   -3.26{col 62}{space 3}0.001{col 70}{space 4}-.2236654{col 83}{space 3} -.054504
{txt}{space 17}l_ln_fuelpc {c |}{col 30}{res}{space 2}-.0212437{col 42}{space 2} .0202454{col 53}{space 1}   -1.05{col 62}{space 3}0.296{col 70}{space 4}-.0613317{col 83}{space 3} .0188442
{txt}{space 18}l_ln_rgdpc {c |}{col 30}{res}{space 2}-.0730292{col 42}{space 2}  .062282{col 53}{space 1}   -1.17{col 62}{space 3}0.243{col 70}{space 4}-.1963537{col 83}{space 3} .0502954
{txt}{space 12}l_ln_milperratio {c |}{col 30}{res}{space 2}  .287182{col 42}{space 2} .0841044{col 53}{space 1}    3.41{col 62}{space 3}0.001{col 70}{space 4}  .120647{col 83}{space 3}  .453717
{txt}{space 16}l_marxinsurg {c |}{col 30}{res}{space 2}-.1411066{col 42}{space 2}  .153463{col 53}{space 1}   -0.92{col 62}{space 3}0.360{col 70}{space 4}-.4449787{col 83}{space 3} .1627654
{txt}{space 6}l_v2exl_legitideolcr_1 {c |}{col 30}{res}{space 2}-.1829927{col 42}{space 2} .1463766{col 53}{space 1}   -1.25{col 62}{space 3}0.214{col 70}{space 4} -.472833{col 83}{space 3} .1068475
{txt}{space 19}l_hr_mean {c |}{col 30}{res}{space 2}-.0018796{col 42}{space 2} .0294161{col 53}{space 1}   -0.06{col 62}{space 3}0.949{col 70}{space 4}-.0601264{col 83}{space 3} .0563672
{txt}{space 19}region6_1 {c |}{col 30}{res}{space 2} .0976625{col 42}{space 2} .2049317{col 53}{space 1}    0.48{col 62}{space 3}0.635{col 70}{space 4}-.3081227{col 83}{space 3} .5034477
{txt}{space 19}region6_2 {c |}{col 30}{res}{space 2} -.226525{col 42}{space 2} .1601921{col 53}{space 1}   -1.41{col 62}{space 3}0.160{col 70}{space 4}-.5437213{col 83}{space 3} .0906713
{txt}{space 19}region6_3 {c |}{col 30}{res}{space 2}-.0239142{col 42}{space 2} .1652033{col 53}{space 1}   -0.14{col 62}{space 3}0.885{col 70}{space 4}-.3510333{col 83}{space 3} .3032049
{txt}{space 19}region6_4 {c |}{col 30}{res}{space 2} .0019657{col 42}{space 2} .1692619{col 53}{space 1}    0.01{col 62}{space 3}0.991{col 70}{space 4}-.3331898{col 83}{space 3} .3371212
{txt}{space 19}region6_5 {c |}{col 30}{res}{space 2}-.0933293{col 42}{space 2} .1930185{col 53}{space 1}   -0.48{col 62}{space 3}0.630{col 70}{space 4}-.4755252{col 83}{space 3} .2888667
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .4885161{col 42}{space 2} .4884161{col 53}{space 1}    1.00{col 62}{space 3}0.319{col 70}{space 4}-.4785965{col 83}{space 3} 1.455629
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr                             
{txt}delimiter now cr
{com}. 
.         
.         ****************************************************************************
.         *Table SM.1.2. Summary statistics on effects
.         ****************************************************************************
.         
.         *Loading dataset        
.         use "$path\replication_data_analysis_2.dta", clear      
{txt}(Scharpf (World Politics): Replication Dataset)

{com}.         
.         *Table
.         #delimit ;
{txt}delimiter now ;
{com}.         sum     
>                 ln_nsctravel 
>                 ln_secstatetravel
>                 ln_delibtravel
>                 
>                 allstuds
>                 allstuds_state 
>                 allstuds_edu 
>                 allstuds_mediacul
>                 
>                 v2x_libdem 
>                 mean_ln_milperratio             
>                 ;

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
ln_nsctravel {c |}{res}      1,211     .014979    .1044173          0   1.098612
{txt}ln_secstat~l {c |}{res}      1,211    .0881796    .3084575          0   2.197225
{txt}ln_delibtr~l {c |}{res}      1,211    .0775981    .2893282          0   2.079442
{txt}{space 4}allstuds {c |}{res}      1,211    4.496284    10.92713          0         55
{txt}allstuds_s~e {c |}{res}      1,211    1.452519    3.413636          0         16
{txt}{hline 13}{c +}{hline 57}
allstuds_edu {c |}{res}      1,211    1.202312    3.021881          0         15
{txt}allstuds_m~l {c |}{res}      1,211    1.512799    4.473296          0         28
{txt}{space 2}v2x_libdem {c |}{res}      1,192     .227469    .2531157       .006       .879
{txt}mean_ln_mi~o {c |}{res}      1,063    .9192958    1.020147          0   4.953069
{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         
.         ****************************************************************************
.         *Table SM.4.3. International Seminar participation and state visits by Kissinger
.         ****************************************************************************
.         
.         *Model 1
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_nsctravel 
>                 allstuds 
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(27, 1035)       =  {res}     1.11
                                                {txt}Prob > F          = {res}    0.3236
                                                {txt}R-squared         = {res}    0.1111
                                                {txt}Root MSE          =    {res} .10629

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       ln_nsctravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}allstuds {c |}{col 21}{res}{space 2} .0006149{col 33}{space 2}  .000911{col 44}{space 1}    0.67{col 53}{space 3}0.500{col 61}{space 4}-.0011727{col 74}{space 3} .0024024
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2}-.0010084{col 33}{space 2} .0185818{col 44}{space 1}   -0.05{col 53}{space 3}0.957{col 61}{space 4}-.0374707{col 74}{space 3} .0354539
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2}  .026261{col 33}{space 2} .0108334{col 44}{space 1}    2.42{col 53}{space 3}0.016{col 61}{space 4} .0050031{col 74}{space 3} .0475189
{txt}{space 17}y2 {c |}{col 21}{res}{space 2}-.0573288{col 33}{space 2} .0156398{col 44}{space 1}   -3.67{col 53}{space 3}0.000{col 61}{space 4}-.0880181{col 74}{space 3}-.0266395
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0334324{col 33}{space 2} .0193187{col 44}{space 1}   -1.73{col 53}{space 3}0.084{col 61}{space 4}-.0713407{col 74}{space 3} .0044758
{txt}{space 17}y4 {c |}{col 21}{res}{space 2}-.0364835{col 33}{space 2} .0183315{col 44}{space 1}   -1.99{col 53}{space 3}0.047{col 61}{space 4}-.0724547{col 74}{space 3}-.0005123
{txt}{space 17}y5 {c |}{col 21}{res}{space 2} -.023016{col 33}{space 2} .0203589{col 44}{space 1}   -1.13{col 53}{space 3}0.259{col 61}{space 4}-.0629654{col 74}{space 3} .0169335
{txt}{space 17}y6 {c |}{col 21}{res}{space 2} -.057333{col 33}{space 2} .0156487{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880399{col 74}{space 3}-.0266261
{txt}{space 17}y7 {c |}{col 21}{res}{space 2}-.0573298{col 33}{space 2} .0156418{col 44}{space 1}   -3.67{col 53}{space 3}0.000{col 61}{space 4}-.0880232{col 74}{space 3}-.0266365
{txt}{space 17}y8 {c |}{col 21}{res}{space 2}-.0569289{col 33}{space 2} .0156101{col 44}{space 1}   -3.65{col 53}{space 3}0.000{col 61}{space 4}  -.08756{col 74}{space 3}-.0262978
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2} .0169289{col 33}{space 2} .0319515{col 44}{space 1}    0.53{col 53}{space 3}0.596{col 61}{space 4}-.0457682{col 74}{space 3} .0796259
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.0275916{col 33}{space 2} .0290441{col 44}{space 1}   -0.95{col 53}{space 3}0.342{col 61}{space 4}-.0845837{col 74}{space 3} .0294005
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.0258399{col 33}{space 2} .0350193{col 44}{space 1}   -0.74{col 53}{space 3}0.461{col 61}{space 4}-.0945568{col 74}{space 3} .0428769
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2}-.0220376{col 33}{space 2} .0211924{col 44}{space 1}   -1.04{col 53}{space 3}0.299{col 61}{space 4}-.0636225{col 74}{space 3} .0195473
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.0033827{col 33}{space 2} .0218766{col 44}{space 1}   -0.15{col 53}{space 3}0.877{col 61}{space 4}-.0463102{col 74}{space 3} .0395449
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2}-.0029624{col 33}{space 2} .0224684{col 44}{space 1}   -0.13{col 53}{space 3}0.895{col 61}{space 4}-.0470513{col 74}{space 3} .0411265
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0046712{col 33}{space 2} .0213885{col 44}{space 1}   -0.22{col 53}{space 3}0.827{col 61}{space 4} -.046641{col 74}{space 3} .0372985
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2}-.0032981{col 33}{space 2} .0212487{col 44}{space 1}   -0.16{col 53}{space 3}0.877{col 61}{space 4}-.0449935{col 74}{space 3} .0383973
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2}-.0223258{col 33}{space 2} .0206445{col 44}{space 1}   -1.08{col 53}{space 3}0.280{col 61}{space 4}-.0628356{col 74}{space 3} .0181841
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2}-.0245922{col 33}{space 2} .0326651{col 44}{space 1}   -0.75{col 53}{space 3}0.452{col 61}{space 4}-.0886897{col 74}{space 3} .0395052
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2} .0056796{col 33}{space 2} .0286991{col 44}{space 1}    0.20{col 53}{space 3}0.843{col 61}{space 4}-.0506354{col 74}{space 3} .0619947
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2}-.0061549{col 33}{space 2} .0316226{col 44}{space 1}   -0.19{col 53}{space 3}0.846{col 61}{space 4}-.0682066{col 74}{space 3} .0558968
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.0162373{col 33}{space 2}  .020669{col 44}{space 1}   -0.79{col 53}{space 3}0.432{col 61}{space 4}-.0567952{col 74}{space 3} .0243206
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2} .0461896{col 33}{space 2}   .08532{col 44}{space 1}    0.54{col 53}{space 3}0.588{col 61}{space 4}-.1212303{col 74}{space 3} .2136096
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2}-.0059891{col 33}{space 2} .0212071{col 44}{space 1}   -0.28{col 53}{space 3}0.778{col 61}{space 4}-.0476029{col 74}{space 3} .0356246
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.0203803{col 33}{space 2} .0203336{col 44}{space 1}   -1.00{col 53}{space 3}0.316{col 61}{space 4}-.0602801{col 74}{space 3} .0195195
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.0068117{col 33}{space 2} .0202818{col 44}{space 1}   -0.34{col 53}{space 3}0.737{col 61}{space 4}-.0466099{col 74}{space 3} .0329865
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}   .03909{col 33}{space 2} .0285191{col 44}{space 1}    1.37{col 53}{space 3}0.171{col 61}{space 4}-.0168719{col 74}{space 3}  .095052
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Model 2
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_nsctravel 
>                 allstuds_state 
>                 allstuds_edu 
>                 allstuds_mediacul 
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(29, 1033)       =  {res}     1.03
                                                {txt}Prob > F          = {res}    0.4180
                                                {txt}R-squared         = {res}    0.1126
                                                {txt}Root MSE          =    {res}  .1063

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}       ln_nsctravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allstuds_state {c |}{col 21}{res}{space 2} -.000481{col 33}{space 2} .0021911{col 44}{space 1}   -0.22{col 53}{space 3}0.826{col 61}{space 4}-.0047805{col 74}{space 3} .0038184
{txt}{space 7}allstuds_edu {c |}{col 21}{res}{space 2}-.0000207{col 33}{space 2} .0033093{col 44}{space 1}   -0.01{col 53}{space 3}0.995{col 61}{space 4}-.0065143{col 74}{space 3}  .006473
{txt}{space 2}allstuds_mediacul {c |}{col 21}{res}{space 2} .0020204{col 33}{space 2}  .002197{col 44}{space 1}    0.92{col 53}{space 3}0.358{col 61}{space 4}-.0022907{col 74}{space 3} .0063315
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2}-.0005899{col 33}{space 2} .0173715{col 44}{space 1}   -0.03{col 53}{space 3}0.973{col 61}{space 4}-.0346773{col 74}{space 3} .0334975
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0258249{col 33}{space 2} .0112294{col 44}{space 1}    2.30{col 53}{space 3}0.022{col 61}{space 4} .0037897{col 74}{space 3}   .04786
{txt}{space 17}y2 {c |}{col 21}{res}{space 2}-.0573284{col 33}{space 2} .0156501{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880381{col 74}{space 3}-.0266188
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0334326{col 33}{space 2} .0193286{col 44}{space 1}   -1.73{col 53}{space 3}0.084{col 61}{space 4}-.0713603{col 74}{space 3} .0044951
{txt}{space 17}y4 {c |}{col 21}{res}{space 2}-.0364827{col 33}{space 2} .0182998{col 44}{space 1}   -1.99{col 53}{space 3}0.046{col 61}{space 4}-.0723918{col 74}{space 3}-.0005735
{txt}{space 17}y5 {c |}{col 21}{res}{space 2}-.0230133{col 33}{space 2} .0203799{col 44}{space 1}   -1.13{col 53}{space 3}0.259{col 61}{space 4} -.063004{col 74}{space 3} .0169774
{txt}{space 17}y6 {c |}{col 21}{res}{space 2}-.0573309{col 33}{space 2} .0156599{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880597{col 74}{space 3}-.0266021
{txt}{space 17}y7 {c |}{col 21}{res}{space 2} -.057329{col 33}{space 2} .0156524{col 44}{space 1}   -3.66{col 53}{space 3}0.000{col 61}{space 4}-.0880432{col 74}{space 3}-.0266149
{txt}{space 17}y8 {c |}{col 21}{res}{space 2}-.0569415{col 33}{space 2} .0156268{col 44}{space 1}   -3.64{col 53}{space 3}0.000{col 61}{space 4}-.0876054{col 74}{space 3}-.0262775
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2} .0160556{col 33}{space 2} .0324372{col 44}{space 1}    0.49{col 53}{space 3}0.621{col 61}{space 4}-.0475947{col 74}{space 3} .0797058
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.0269281{col 33}{space 2} .0324954{col 44}{space 1}   -0.83{col 53}{space 3}0.407{col 61}{space 4}-.0906927{col 74}{space 3} .0368365
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.0272614{col 33}{space 2} .0349277{col 44}{space 1}   -0.78{col 53}{space 3}0.435{col 61}{space 4}-.0957986{col 74}{space 3} .0412759
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2}-.0223942{col 33}{space 2} .0218067{col 44}{space 1}   -1.03{col 53}{space 3}0.305{col 61}{space 4}-.0651847{col 74}{space 3} .0203963
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.0022366{col 33}{space 2} .0225911{col 44}{space 1}   -0.10{col 53}{space 3}0.921{col 61}{space 4}-.0465663{col 74}{space 3} .0420932
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2}-.0025658{col 33}{space 2} .0234119{col 44}{space 1}   -0.11{col 53}{space 3}0.913{col 61}{space 4}-.0485062{col 74}{space 3} .0433746
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0041261{col 33}{space 2} .0219078{col 44}{space 1}   -0.19{col 53}{space 3}0.851{col 61}{space 4}-.0471149{col 74}{space 3} .0388626
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2}-.0028661{col 33}{space 2} .0219361{col 44}{space 1}   -0.13{col 53}{space 3}0.896{col 61}{space 4}-.0459104{col 74}{space 3} .0401783
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2}-.0211868{col 33}{space 2} .0213907{col 44}{space 1}   -0.99{col 53}{space 3}0.322{col 61}{space 4} -.063161{col 74}{space 3} .0207874
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2}-.0199515{col 33}{space 2}  .032052{col 44}{space 1}   -0.62{col 53}{space 3}0.534{col 61}{space 4}-.0828459{col 74}{space 3} .0429429
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2} .0073851{col 33}{space 2} .0283771{col 44}{space 1}    0.26{col 53}{space 3}0.795{col 61}{space 4}-.0482982{col 74}{space 3} .0630684
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2} .0003526{col 33}{space 2} .0316693{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.0617909{col 74}{space 3} .0624961
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.0160963{col 33}{space 2} .0215899{col 44}{space 1}   -0.75{col 53}{space 3}0.456{col 61}{space 4}-.0584613{col 74}{space 3} .0262687
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2} .0467517{col 33}{space 2} .0855174{col 44}{space 1}    0.55{col 53}{space 3}0.585{col 61}{space 4} -.121056{col 74}{space 3} .2145593
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2}-.0061674{col 33}{space 2} .0218216{col 44}{space 1}   -0.28{col 53}{space 3}0.778{col 61}{space 4}-.0489871{col 74}{space 3} .0366522
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.0195511{col 33}{space 2} .0205772{col 44}{space 1}   -0.95{col 53}{space 3}0.342{col 61}{space 4}-.0599288{col 74}{space 3} .0208267
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.0066195{col 33}{space 2} .0211274{col 44}{space 1}   -0.31{col 53}{space 3}0.754{col 61}{space 4}-.0480771{col 74}{space 3} .0348381
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .0389195{col 33}{space 2} .0288651{col 44}{space 1}    1.35{col 53}{space 3}0.178{col 61}{space 4}-.0177214{col 74}{space 3} .0955605
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.                 
.         *Model 3
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_secstatetravel 
>                 allstuds
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust  
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(27, 1035)       =  {res}     5.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2525
                                                {txt}Root MSE          =    {res} .28628

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}  ln_secstatetravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}allstuds {c |}{col 21}{res}{space 2} .0044469{col 33}{space 2} .0018418{col 44}{space 1}    2.41{col 53}{space 3}0.016{col 61}{space 4} .0008329{col 74}{space 3}  .008061
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2} .0868315{col 33}{space 2} .0723411{col 44}{space 1}    1.20{col 53}{space 3}0.230{col 61}{space 4}-.0551206{col 74}{space 3} .2287835
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0709761{col 33}{space 2} .0184412{col 44}{space 1}    3.85{col 53}{space 3}0.000{col 61}{space 4} .0347897{col 74}{space 3} .1071624
{txt}{space 17}y2 {c |}{col 21}{res}{space 2} .0000712{col 33}{space 2} .0155658{col 44}{space 1}    0.00{col 53}{space 3}0.996{col 61}{space 4} -.030473{col 74}{space 3} .0306153
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0000353{col 33}{space 2} .0155637{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-.0305753{col 74}{space 3} .0305048
{txt}{space 17}y4 {c |}{col 21}{res}{space 2} .0001795{col 33}{space 2} .0155775{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.0303875{col 74}{space 3} .0307466
{txt}{space 17}y5 {c |}{col 21}{res}{space 2}  .125241{col 33}{space 2} .0246907{col 44}{space 1}    5.07{col 53}{space 3}0.000{col 61}{space 4} .0767914{col 74}{space 3} .1736905
{txt}{space 17}y6 {c |}{col 21}{res}{space 2}  .258779{col 33}{space 2} .0415453{col 44}{space 1}    6.23{col 53}{space 3}0.000{col 61}{space 4} .1772562{col 74}{space 3} .3403017
{txt}{space 17}y7 {c |}{col 21}{res}{space 2} .2029034{col 33}{space 2} .0366158{col 44}{space 1}    5.54{col 53}{space 3}0.000{col 61}{space 4} .1310537{col 74}{space 3} .2747531
{txt}{space 17}y8 {c |}{col 21}{res}{space 2} .2135978{col 33}{space 2} .0356051{col 44}{space 1}    6.00{col 53}{space 3}0.000{col 61}{space 4} .1437314{col 74}{space 3} .2834641
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2}-.1183651{col 33}{space 2} .0780403{col 44}{space 1}   -1.52{col 53}{space 3}0.130{col 61}{space 4}-.2715004{col 74}{space 3} .0347701
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.1622711{col 33}{space 2} .0717539{col 44}{space 1}   -2.26{col 53}{space 3}0.024{col 61}{space 4}-.3030709{col 74}{space 3}-.0214714
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.1879667{col 33}{space 2} .0747834{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4} -.334711{col 74}{space 3}-.0412223
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2} .0276662{col 33}{space 2} .0913221{col 44}{space 1}    0.30{col 53}{space 3}0.762{col 61}{space 4}-.1515314{col 74}{space 3} .2068639
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.1021431{col 33}{space 2} .0690123{col 44}{space 1}   -1.48{col 53}{space 3}0.139{col 61}{space 4}-.2375631{col 74}{space 3}  .033277
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2}-.0844162{col 33}{space 2}  .074181{col 44}{space 1}   -1.14{col 53}{space 3}0.255{col 61}{space 4}-.2299785{col 74}{space 3} .0611461
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0793697{col 33}{space 2} .0710315{col 44}{space 1}   -1.12{col 53}{space 3}0.264{col 61}{space 4} -.218752{col 74}{space 3} .0600126
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2} -.097224{col 33}{space 2} .0697615{col 44}{space 1}   -1.39{col 53}{space 3}0.164{col 61}{space 4}-.2341141{col 74}{space 3} .0396662
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2} .0584218{col 33}{space 2} .0870606{col 44}{space 1}    0.67{col 53}{space 3}0.502{col 61}{space 4}-.1124137{col 74}{space 3} .2292573
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2} -.203137{col 33}{space 2} .0824107{col 44}{space 1}   -2.46{col 53}{space 3}0.014{col 61}{space 4}-.3648481{col 74}{space 3}-.0414259
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2}-.2025708{col 33}{space 2} .0669293{col 44}{space 1}   -3.03{col 53}{space 3}0.003{col 61}{space 4}-.3339035{col 74}{space 3}-.0712381
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2}-.1560129{col 33}{space 2} .0752352{col 44}{space 1}   -2.07{col 53}{space 3}0.038{col 61}{space 4}-.3036438{col 74}{space 3}-.0083819
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.2054383{col 33}{space 2} .0672263{col 44}{space 1}   -3.06{col 53}{space 3}0.002{col 61}{space 4}-.3373536{col 74}{space 3}-.0735229
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2}-.0427206{col 33}{space 2} .1375569{col 44}{space 1}   -0.31{col 53}{space 3}0.756{col 61}{space 4}-.3126429{col 74}{space 3} .2272017
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2}-.0400863{col 33}{space 2} .0751332{col 44}{space 1}   -0.53{col 53}{space 3}0.594{col 61}{space 4} -.187517{col 74}{space 3} .1073444
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.1178677{col 33}{space 2} .0661212{col 44}{space 1}   -1.78{col 53}{space 3}0.075{col 61}{space 4}-.2476147{col 74}{space 3} .0118793
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.1191887{col 33}{space 2} .0652732{col 44}{space 1}   -1.83{col 53}{space 3}0.068{col 61}{space 4}-.2472717{col 74}{space 3} .0088943
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.0127207{col 33}{space 2} .0746864{col 44}{space 1}   -0.17{col 53}{space 3}0.865{col 61}{space 4}-.1592748{col 74}{space 3} .1338335
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr
{txt}delimiter now cr
{com}.                 
.         *Model 4
.         #delimit ;
{txt}delimiter now ;
{com}.         reg ln_secstatetravel 
>                 allstuds_state 
>                 allstuds_edu 
>                 allstuds_mediacul 
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust  
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(29, 1033)       =  {res}     5.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2554
                                                {txt}Root MSE          =    {res} .28599

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}  ln_secstatetravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allstuds_state {c |}{col 21}{res}{space 2}-.0046542{col 33}{space 2} .0054607{col 44}{space 1}   -0.85{col 53}{space 3}0.394{col 61}{space 4}-.0153694{col 74}{space 3} .0060611
{txt}{space 7}allstuds_edu {c |}{col 21}{res}{space 2} .0163064{col 33}{space 2} .0071451{col 44}{space 1}    2.28{col 53}{space 3}0.023{col 61}{space 4} .0022857{col 74}{space 3}  .030327
{txt}{space 2}allstuds_mediacul {c |}{col 21}{res}{space 2} .0039994{col 33}{space 2} .0050933{col 44}{space 1}    0.79{col 53}{space 3}0.432{col 61}{space 4} -.005995{col 74}{space 3} .0139938
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2} .1139103{col 33}{space 2} .0720966{col 44}{space 1}    1.58{col 53}{space 3}0.114{col 61}{space 4}-.0275622{col 74}{space 3} .2553829
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0650758{col 33}{space 2} .0186875{col 44}{space 1}    3.48{col 53}{space 3}0.001{col 61}{space 4}  .028406{col 74}{space 3} .1017455
{txt}{space 17}y2 {c |}{col 21}{res}{space 2} .0000934{col 33}{space 2} .0157209{col 44}{space 1}    0.01{col 53}{space 3}0.995{col 61}{space 4}-.0307551{col 74}{space 3} .0309418
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0000462{col 33}{space 2} .0157192{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-.0308914{col 74}{space 3} .0307989
{txt}{space 17}y4 {c |}{col 21}{res}{space 2} .0002355{col 33}{space 2} .0157405{col 44}{space 1}    0.01{col 53}{space 3}0.988{col 61}{space 4}-.0306515{col 74}{space 3} .0311226
{txt}{space 17}y5 {c |}{col 21}{res}{space 2} .1254136{col 33}{space 2}  .024642{col 44}{space 1}    5.09{col 53}{space 3}0.000{col 61}{space 4} .0770595{col 74}{space 3} .1737677
{txt}{space 17}y6 {c |}{col 21}{res}{space 2} .2589152{col 33}{space 2} .0415825{col 44}{space 1}    6.23{col 53}{space 3}0.000{col 61}{space 4} .1773193{col 74}{space 3} .3405111
{txt}{space 17}y7 {c |}{col 21}{res}{space 2} .2029533{col 33}{space 2} .0365433{col 44}{space 1}    5.55{col 53}{space 3}0.000{col 61}{space 4} .1312456{col 74}{space 3} .2746609
{txt}{space 17}y8 {c |}{col 21}{res}{space 2} .2135565{col 33}{space 2} .0355228{col 44}{space 1}    6.01{col 53}{space 3}0.000{col 61}{space 4} .1438514{col 74}{space 3} .2832615
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2}-.1252615{col 33}{space 2} .0783151{col 44}{space 1}   -1.60{col 53}{space 3}0.110{col 61}{space 4}-.2789364{col 74}{space 3} .0284134
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.1935608{col 33}{space 2} .0721513{col 44}{space 1}   -2.68{col 53}{space 3}0.007{col 61}{space 4}-.3351407{col 74}{space 3} -.051981
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.1878008{col 33}{space 2} .0748786{col 44}{space 1}   -2.51{col 53}{space 3}0.012{col 61}{space 4}-.3347324{col 74}{space 3}-.0408692
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2} .0214824{col 33}{space 2} .0900073{col 44}{space 1}    0.24{col 53}{space 3}0.811{col 61}{space 4}-.1551356{col 74}{space 3} .1981004
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.1058597{col 33}{space 2} .0690841{col 44}{space 1}   -1.53{col 53}{space 3}0.126{col 61}{space 4}-.2414208{col 74}{space 3} .0297014
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2}-.0924222{col 33}{space 2}  .074369{col 44}{space 1}   -1.24{col 53}{space 3}0.214{col 61}{space 4}-.2383538{col 74}{space 3} .0535094
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0831685{col 33}{space 2} .0710555{col 44}{space 1}   -1.17{col 53}{space 3}0.242{col 61}{space 4} -.222598{col 74}{space 3} .0562611
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2}-.1036965{col 33}{space 2} .0699129{col 44}{space 1}   -1.48{col 53}{space 3}0.138{col 61}{space 4} -.240884{col 74}{space 3}  .033491
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2}  .051967{col 33}{space 2} .0878354{col 44}{space 1}    0.59{col 53}{space 3}0.554{col 61}{space 4}-.1203892{col 74}{space 3} .2243232
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2}-.1899086{col 33}{space 2} .0815542{col 44}{space 1}   -2.33{col 53}{space 3}0.020{col 61}{space 4}-.3499395{col 74}{space 3}-.0298778
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2}-.1920749{col 33}{space 2} .0664478{col 44}{space 1}   -2.89{col 53}{space 3}0.004{col 61}{space 4} -.322463{col 74}{space 3}-.0616867
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2}-.1508037{col 33}{space 2} .0746117{col 44}{space 1}   -2.02{col 53}{space 3}0.044{col 61}{space 4}-.2972114{col 74}{space 3} -.004396
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.2269194{col 33}{space 2} .0668278{col 44}{space 1}   -3.40{col 53}{space 3}0.001{col 61}{space 4}-.3580531{col 74}{space 3}-.0957857
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2}-.0575021{col 33}{space 2} .1373237{col 44}{space 1}   -0.42{col 53}{space 3}0.675{col 61}{space 4}-.3269674{col 74}{space 3} .2119631
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2}-.0467078{col 33}{space 2} .0753652{col 44}{space 1}   -0.62{col 53}{space 3}0.536{col 61}{space 4}-.1945941{col 74}{space 3} .1011785
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.1188795{col 33}{space 2} .0658194{col 44}{space 1}   -1.81{col 53}{space 3}0.071{col 61}{space 4}-.2480345{col 74}{space 3} .0102755
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.1288948{col 33}{space 2} .0653986{col 44}{space 1}   -1.97{col 53}{space 3}0.049{col 61}{space 4}-.2572241{col 74}{space 3}-.0005655
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.0087003{col 33}{space 2} .0750863{col 44}{space 1}   -0.12{col 53}{space 3}0.908{col 61}{space 4}-.1560394{col 74}{space 3} .1386387
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}. 
.         *Model 5
.         #delimit ;      
{txt}delimiter now ;
{com}.         reg ln_delibtravel              
>                 allstuds
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust  
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(27, 1035)       =  {res}     4.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2240
                                                {txt}Root MSE          =    {res} .27371

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     ln_delibtravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}allstuds {c |}{col 21}{res}{space 2} .0040541{col 33}{space 2} .0018162{col 44}{space 1}    2.23{col 53}{space 3}0.026{col 61}{space 4} .0004902{col 74}{space 3} .0076179
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2} .0727729{col 33}{space 2} .0695766{col 44}{space 1}    1.05{col 53}{space 3}0.296{col 61}{space 4}-.0637545{col 74}{space 3} .2093003
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0711072{col 33}{space 2} .0176793{col 44}{space 1}    4.02{col 53}{space 3}0.000{col 61}{space 4} .0364159{col 74}{space 3} .1057986
{txt}{space 17}y2 {c |}{col 21}{res}{space 2} .0000596{col 33}{space 2} .0140339{col 44}{space 1}    0.00{col 53}{space 3}0.997{col 61}{space 4}-.0274784{col 74}{space 3} .0275977
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0000295{col 33}{space 2} .0140322{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-.0275644{col 74}{space 3} .0275053
{txt}{space 17}y4 {c |}{col 21}{res}{space 2} .0001505{col 33}{space 2} .0140394{col 44}{space 1}    0.01{col 53}{space 3}0.991{col 61}{space 4}-.0273985{col 74}{space 3} .0276995
{txt}{space 17}y5 {c |}{col 21}{res}{space 2} .1416718{col 33}{space 2} .0266997{col 44}{space 1}    5.31{col 53}{space 3}0.000{col 61}{space 4} .0892801{col 74}{space 3} .1940635
{txt}{space 17}y6 {c |}{col 21}{res}{space 2} .2148437{col 33}{space 2}  .037898{col 44}{space 1}    5.67{col 53}{space 3}0.000{col 61}{space 4}  .140478{col 74}{space 3} .2892093
{txt}{space 17}y7 {c |}{col 21}{res}{space 2} .1473457{col 33}{space 2} .0338052{col 44}{space 1}    4.36{col 53}{space 3}0.000{col 61}{space 4} .0810113{col 74}{space 3} .2136802
{txt}{space 17}y8 {c |}{col 21}{res}{space 2} .2000239{col 33}{space 2} .0350526{col 44}{space 1}    5.71{col 53}{space 3}0.000{col 61}{space 4} .1312416{col 74}{space 3} .2688063
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2}-.0492277{col 33}{space 2} .0736118{col 44}{space 1}   -0.67{col 53}{space 3}0.504{col 61}{space 4}-.1936731{col 74}{space 3} .0952177
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.1260433{col 33}{space 2} .0665099{col 44}{space 1}   -1.90{col 53}{space 3}0.058{col 61}{space 4}-.2565529{col 74}{space 3} .0044663
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.1516902{col 33}{space 2}  .066211{col 44}{space 1}   -2.29{col 53}{space 3}0.022{col 61}{space 4}-.2816134{col 74}{space 3}-.0217671
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2} .0926474{col 33}{space 2} .0864407{col 44}{space 1}    1.07{col 53}{space 3}0.284{col 61}{space 4}-.0769717{col 74}{space 3} .2622665
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.0345715{col 33}{space 2} .0635415{col 44}{space 1}   -0.54{col 53}{space 3}0.587{col 61}{space 4}-.1592564{col 74}{space 3} .0901134
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2}-.0182805{col 33}{space 2}  .068794{col 44}{space 1}   -0.27{col 53}{space 3}0.791{col 61}{space 4}-.1532722{col 74}{space 3} .1167112
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0119975{col 33}{space 2} .0656648{col 44}{space 1}   -0.18{col 53}{space 3}0.855{col 61}{space 4}-.1408488{col 74}{space 3} .1168539
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2}-.0289004{col 33}{space 2} .0638223{col 44}{space 1}   -0.45{col 53}{space 3}0.651{col 61}{space 4}-.1541362{col 74}{space 3} .0963354
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2} .1230002{col 33}{space 2} .0825236{col 44}{space 1}    1.49{col 53}{space 3}0.136{col 61}{space 4}-.0389324{col 74}{space 3} .2849328
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2}-.1533314{col 33}{space 2} .0763158{col 44}{space 1}   -2.01{col 53}{space 3}0.045{col 61}{space 4}-.3030827{col 74}{space 3}-.0035801
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2}-.1420612{col 33}{space 2} .0612096{col 44}{space 1}   -2.32{col 53}{space 3}0.020{col 61}{space 4}-.2621703{col 74}{space 3}-.0219521
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2} -.082166{col 33}{space 2} .0707345{col 44}{space 1}   -1.16{col 53}{space 3}0.246{col 61}{space 4}-.2209654{col 74}{space 3} .0566334
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.1290746{col 33}{space 2} .0589938{col 44}{space 1}   -2.19{col 53}{space 3}0.029{col 61}{space 4}-.2448358{col 74}{space 3}-.0133135
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2}-.0537801{col 33}{space 2} .1377349{col 44}{space 1}   -0.39{col 53}{space 3}0.696{col 61}{space 4}-.3240516{col 74}{space 3} .2164915
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2} .0223687{col 33}{space 2} .0686844{col 44}{space 1}    0.33{col 53}{space 3}0.745{col 61}{space 4}-.1124078{col 74}{space 3} .1571453
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.0496523{col 33}{space 2} .0601562{col 44}{space 1}   -0.83{col 53}{space 3}0.409{col 61}{space 4}-.1676944{col 74}{space 3} .0683897
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.0500489{col 33}{space 2} .0591006{col 44}{space 1}   -0.85{col 53}{space 3}0.397{col 61}{space 4}-.1660196{col 74}{space 3} .0659217
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.0659305{col 33}{space 2} .0696354{col 44}{space 1}   -0.95{col 53}{space 3}0.344{col 61}{space 4}-.2025731{col 74}{space 3} .0707121
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
.         *Model 6
.         #delimit ;      
{txt}delimiter now ;
{com}.         reg ln_delibtravel              
>                 allstuds_state 
>                 allstuds_edu 
>                 allstuds_mediacul 
>                 v2x_libdem 
>                 mean_ln_milperratio 
>                 y2-y8 
>                 region19_2-region19_18
>                 ,
>                 robust  
>         ;

{txt}Linear regression                               Number of obs     = {res}     1,063
                                                {txt}F(29, 1033)       =  {res}     4.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2299
                                                {txt}Root MSE          =    {res} .27293

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}     ln_delibtravel{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}allstuds_state {c |}{col 21}{res}{space 2}-.0084157{col 33}{space 2} .0049903{col 44}{space 1}   -1.69{col 53}{space 3}0.092{col 61}{space 4} -.018208{col 74}{space 3} .0013766
{txt}{space 7}allstuds_edu {c |}{col 21}{res}{space 2} .0151353{col 33}{space 2} .0071412{col 44}{space 1}    2.12{col 53}{space 3}0.034{col 61}{space 4} .0011224{col 74}{space 3} .0291482
{txt}{space 2}allstuds_mediacul {c |}{col 21}{res}{space 2} .0065362{col 33}{space 2} .0046637{col 44}{space 1}    1.40{col 53}{space 3}0.161{col 61}{space 4}-.0026152{col 74}{space 3} .0156876
{txt}{space 9}v2x_libdem {c |}{col 21}{res}{space 2} .1017145{col 33}{space 2} .0695098{col 44}{space 1}    1.46{col 53}{space 3}0.144{col 61}{space 4} -.034682{col 74}{space 3}  .238111
{txt}mean_ln_milperratio {c |}{col 21}{res}{space 2} .0642045{col 33}{space 2} .0177796{col 44}{space 1}    3.61{col 53}{space 3}0.000{col 61}{space 4} .0293162{col 74}{space 3} .0990928
{txt}{space 17}y2 {c |}{col 21}{res}{space 2} .0000834{col 33}{space 2} .0143354{col 44}{space 1}    0.01{col 53}{space 3}0.995{col 61}{space 4}-.0280466{col 74}{space 3} .0282133
{txt}{space 17}y3 {c |}{col 21}{res}{space 2}-.0000413{col 33}{space 2} .0143352{col 44}{space 1}   -0.00{col 53}{space 3}0.998{col 61}{space 4}-.0281706{col 74}{space 3}  .028088
{txt}{space 17}y4 {c |}{col 21}{res}{space 2} .0002103{col 33}{space 2} .0143514{col 44}{space 1}    0.01{col 53}{space 3}0.988{col 61}{space 4}-.0279509{col 74}{space 3} .0283716
{txt}{space 17}y5 {c |}{col 21}{res}{space 2} .1418564{col 33}{space 2}  .026664{col 44}{space 1}    5.32{col 53}{space 3}0.000{col 61}{space 4} .0895346{col 74}{space 3} .1941781
{txt}{space 17}y6 {c |}{col 21}{res}{space 2} .2149893{col 33}{space 2} .0377832{col 44}{space 1}    5.69{col 53}{space 3}0.000{col 61}{space 4} .1408487{col 74}{space 3} .2891298
{txt}{space 17}y7 {c |}{col 21}{res}{space 2}  .147399{col 33}{space 2} .0337622{col 44}{space 1}    4.37{col 53}{space 3}0.000{col 61}{space 4} .0811487{col 74}{space 3} .2136493
{txt}{space 17}y8 {c |}{col 21}{res}{space 2} .1999823{col 33}{space 2} .0348739{col 44}{space 1}    5.73{col 53}{space 3}0.000{col 61}{space 4} .1315505{col 74}{space 3} .2684142
{txt}{space 9}region19_2 {c |}{col 21}{res}{space 2}-.0593407{col 33}{space 2} .0739518{col 44}{space 1}   -0.80{col 53}{space 3}0.422{col 61}{space 4}-.2044536{col 74}{space 3} .0857723
{txt}{space 9}region19_3 {c |}{col 21}{res}{space 2}-.1591433{col 33}{space 2} .0676174{col 44}{space 1}   -2.35{col 53}{space 3}0.019{col 61}{space 4}-.2918264{col 74}{space 3}-.0264602
{txt}{space 9}region19_4 {c |}{col 21}{res}{space 2}-.1567252{col 33}{space 2} .0671973{col 44}{space 1}   -2.33{col 53}{space 3}0.020{col 61}{space 4}-.2885839{col 74}{space 3}-.0248665
{txt}{space 9}region19_5 {c |}{col 21}{res}{space 2} .0836501{col 33}{space 2} .0849057{col 44}{space 1}    0.99{col 53}{space 3}0.325{col 61}{space 4}-.0829571{col 74}{space 3} .2502574
{txt}{space 9}region19_6 {c |}{col 21}{res}{space 2}-.0374471{col 33}{space 2} .0627119{col 44}{space 1}   -0.60{col 53}{space 3}0.551{col 61}{space 4}-.1605045{col 74}{space 3} .0856102
{txt}{space 9}region19_7 {c |}{col 21}{res}{space 2} -.027701{col 33}{space 2} .0687123{col 44}{space 1}   -0.40{col 53}{space 3}0.687{col 61}{space 4}-.1625325{col 74}{space 3} .1071306
{txt}{space 9}region19_8 {c |}{col 21}{res}{space 2}-.0164923{col 33}{space 2}  .065161{col 44}{space 1}   -0.25{col 53}{space 3}0.800{col 61}{space 4}-.1443553{col 74}{space 3} .1113707
{txt}{space 9}region19_9 {c |}{col 21}{res}{space 2}  -.03644{col 33}{space 2} .0635492{col 44}{space 1}   -0.57{col 53}{space 3}0.566{col 61}{space 4}-.1611403{col 74}{space 3} .0882603
{txt}{space 8}region19_10 {c |}{col 21}{res}{space 2}  .116975{col 33}{space 2} .0827417{col 44}{space 1}    1.41{col 53}{space 3}0.158{col 61}{space 4}-.0453859{col 74}{space 3} .2793359
{txt}{space 8}region19_11 {c |}{col 21}{res}{space 2}-.1330566{col 33}{space 2}  .072752{col 44}{space 1}   -1.83{col 53}{space 3}0.068{col 61}{space 4}-.2758152{col 74}{space 3}  .009702
{txt}{space 8}region19_12 {c |}{col 21}{res}{space 2}-.1291235{col 33}{space 2} .0591179{col 44}{space 1}   -2.18{col 53}{space 3}0.029{col 61}{space 4}-.2451283{col 74}{space 3}-.0131187
{txt}{space 8}region19_13 {c |}{col 21}{res}{space 2}-.0639654{col 33}{space 2} .0658791{col 44}{space 1}   -0.97{col 53}{space 3}0.332{col 61}{space 4}-.1932375{col 74}{space 3} .0653067
{txt}{space 8}region19_14 {c |}{col 21}{res}{space 2}-.1530301{col 33}{space 2} .0586481{col 44}{space 1}   -2.61{col 53}{space 3}0.009{col 61}{space 4}-.2681131{col 74}{space 3}-.0379471
{txt}{space 8}region19_15 {c |}{col 21}{res}{space 2} -.070026{col 33}{space 2} .1374333{col 44}{space 1}   -0.51{col 53}{space 3}0.610{col 61}{space 4}-.3397062{col 74}{space 3} .1996542
{txt}{space 8}region19_16 {c |}{col 21}{res}{space 2} .0131979{col 33}{space 2} .0687746{col 44}{space 1}    0.19{col 53}{space 3}0.848{col 61}{space 4} -.121756{col 74}{space 3} .1481517
{txt}{space 8}region19_17 {c |}{col 21}{res}{space 2}-.0507507{col 33}{space 2}  .059047{col 44}{space 1}   -0.86{col 53}{space 3}0.390{col 61}{space 4}-.1666165{col 74}{space 3} .0651152
{txt}{space 8}region19_18 {c |}{col 21}{res}{space 2}-.0616454{col 33}{space 2} .0590109{col 44}{space 1}   -1.04{col 53}{space 3}0.296{col 61}{space 4}-.1774403{col 74}{space 3} .0541496
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-.0602243{col 33}{space 2} .0698483{col 44}{space 1}   -0.86{col 53}{space 3}0.389{col 61}{space 4} -.197285{col 74}{space 3} .0768364
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         #delimit cr     
{txt}delimiter now cr
{com}.         
. 
. 
. ********************************************************************************        
. *
. *
. *       
. ********************************************************************************                
.         
.         *Closing graph windows
.         graph close _all 
{txt}
{com}.         
.         *Clearing data
.         clear all
{res}{txt}
{com}.         
.         *End recording log file
.         log close       
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pxq521\Dropbox\KissingerInternationalSeminar\Replication\replicationfiles\replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 May 2025, 13:33:48
{txt}{.-}
{smcl}
{txt}{sf}{ul off}